├── packages.txt
├── data
├── sample.mp3
├── kgptalkie.png
├── sample-video.mp4
├── edited_data.csv
├── auto.csv
└── weather_data.csv
├── images
├── cat.jpg
└── dog.jpg
├── requirements.txt
├── Streamlit_Crash_Course
├── sample.mp3
├── kgptalkie.png
├── sample-video.mp4
├── app.py
└── auto.csv
├── 02_working_with_text_inputes.py
├── 05_working_with_data_objects.py
├── 08_working_with_sidebar_and_navigation_bars.py
├── 10_working_with_caching.py
├── 03_working_with_interactive_widgets.py
├── 04_status_and_progress_indicators.py
├── 01_working_with_text_display.py
├── 06_working_with_media_files.py
├── 09_working_with_layouts_and_page_configuration.py
├── app.py
├── 11_model_deployement.py
├── 07_working_with_plotting_libraries.py
└── README.md
/packages.txt:
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1 | libgl1
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/data/sample.mp3:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/data/sample.mp3
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/images/cat.jpg:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/images/cat.jpg
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/images/dog.jpg:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/images/dog.jpg
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/data/kgptalkie.png:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/data/kgptalkie.png
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/data/sample-video.mp4:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/data/sample-video.mp4
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/requirements.txt:
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1 | cartooner
2 | rembg
3 | Pillow
4 | streamlit
5 | numba
6 | numpy
7 | opencv-python-headless
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/Streamlit_Crash_Course/sample.mp3:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/Streamlit_Crash_Course/sample.mp3
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/Streamlit_Crash_Course/kgptalkie.png:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/Streamlit_Crash_Course/kgptalkie.png
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/Streamlit_Crash_Course/sample-video.mp4:
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https://raw.githubusercontent.com/laxmimerit/streamlit-tutorials/HEAD/Streamlit_Crash_Course/sample-video.mp4
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/data/edited_data.csv:
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1 | mpg,cylinders,displacement,horsepower,weight,acceleration,year,origin,name
2 | 18.0,8,307.0,130,3504,12.0,70,1,chevrolet chevelle malibu
3 | 15.0,8,350.0,165,3693,11.5,70,1,buick skylark 320
4 | 18.0,8,318.0,150,3436,11.0,70,1,plymouth satellite
5 | 16.0,8,304.0,150,3433,12.0,70,1,amc rebel sst
6 | 17.0,8,302.0,140,3449,10.5,70,1,ford torino
7 |
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/02_working_with_text_inputes.py:
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1 | import streamlit as st
2 |
3 | # Title
4 | st.title("Streamlit Text Input Examples")
5 |
6 | # Text Input
7 | name = st.text_input("Enter your name:", "")
8 |
9 | # Text Area
10 | feedback = st.text_area("Enter your feedback:", "")
11 |
12 | # Number Input
13 | age = st.number_input("Enter your age:", min_value=0, max_value=120, step=1)
14 |
15 | # Date Input
16 | date = st.date_input("Select a date:")
17 |
18 | # Time Input
19 | time = st.time_input("Select a time:")
20 |
21 | # Color Picker
22 | color = st.color_picker("Pick a color")
23 |
24 | # Display inputs
25 | st.write("Name:", name)
26 | st.write("Feedback:", feedback)
27 | st.write("Age:", age)
28 | st.write("Date:", date)
29 | st.write("Time:", time)
30 | st.write("Color:", color)
31 |
32 | # print color based on color values
33 |
34 | # HTML
35 | html_code = """
36 | This is a blue heading
37 | This is a green paragraph
38 | """.format(color)
39 | st.markdown(html_code, unsafe_allow_html=True)
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/05_working_with_data_objects.py:
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1 | import streamlit as st
2 | import pandas as pd
3 |
4 | # Title
5 | st.title("Streamlit Data Objects Example")
6 |
7 | # Display JSON data
8 | st.subheader("JSON Data")
9 |
10 | # Sample JSON data
11 | json_data = {
12 | "name": "KGP Talkie",
13 | "age": 30,
14 | "city": "Mumbai"
15 | }
16 | st.json(json_data)
17 |
18 | # Sample DataFrame
19 | # Display DataFrame
20 | st.subheader("DataFrame")
21 |
22 | import pandas as pd
23 | df = pd.read_csv("data/auto.csv")
24 | st.dataframe(df.head())
25 |
26 | # Display DataFrame as table
27 | st.subheader("DataFrame as Table")
28 | st.table(df.head())
29 |
30 | # Sample code
31 | st.subheader("Sample Code")
32 |
33 | sample_code = '''
34 | def greet(name):
35 | return "Hello, " + name + "!"
36 |
37 | print(greet("KGP Talkie"))
38 | '''
39 | st.code(sample_code, language='python')
40 |
41 | # Sample metric
42 | st.subheader("Sample Metric")
43 | st.metric("Accuracy", value=0.85, delta=+0.05)
44 |
45 | # Sample data editor
46 | st.subheader("Data Editor")
47 | edited_data = st.data_editor(df.head())
48 |
49 | st.write("Edited DataFrame:")
50 | st.write(edited_data)
51 |
52 | edited_data.to_csv("data/edited_data.csv", index=False)
53 |
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/08_working_with_sidebar_and_navigation_bars.py:
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1 | import streamlit as st
2 |
3 | st.title("Streamlit Playlist Series")
4 |
5 | # Sidebar
6 | st.sidebar.title("Navigation")
7 | page = st.sidebar.radio("Go to", ["Home", "About", "Contact"])
8 | # page = st.sidebar.selectbox("Go to", ["Home", "About", "Contact"])
9 |
10 | if page == "Home":
11 | st.write("Welcome to the homepage!")
12 | st.write("Here, you can explore various features of Streamlit.")
13 |
14 | # Expander
15 | with st.expander("Click to learn more about Streamlit"):
16 | st.write("Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.")
17 |
18 | # Popover
19 | with st.popover("Open popover"):
20 | st.markdown("Hello World 👋")
21 | name = st.text_input("What's your name?")
22 |
23 | st.write("Your name:", name)
24 |
25 | elif page == "About":
26 | st.write("This is the About page.")
27 | st.write("Here, you can find information about Streamlit and its features.")
28 |
29 | elif page == "Contact":
30 | st.write("Feel free to contact us!")
31 | st.write("You can reach out to us via email or social media.")
32 |
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/10_working_with_caching.py:
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1 | import streamlit as st
2 | import pandas as pd
3 | from transformers import pipeline
4 |
5 | # Function to simulate an expensive computation
6 | # @st.cache_data
7 | def read_data():
8 | df = pd.read_csv("https://github.com/laxmimerit/All-CSV-ML-Data-Files-Download/raw/master/IMDB-Dataset.csv")
9 | return df.head()
10 |
11 | # Function to store and retrieve data in session state
12 | def update_session_state():
13 | if 'counter' not in st.session_state:
14 | st.session_state.counter = 0
15 |
16 | st.write("Counter:", st.session_state.counter)
17 | st.session_state.counter += 1
18 |
19 | # Title
20 | st.title("Working with Caching and Session State")
21 |
22 | # Example of caching
23 | st.button("Increment counter")
24 | result = read_data()
25 | st.write("Result of expensive computation:", result)
26 |
27 | # update session state
28 | update_session_state()
29 |
30 | # Load NLP model from Hugging Face using caching. It will not reload model again
31 | @st.cache_resource
32 | def load_model():
33 | model = pipeline("sentiment-analysis")
34 | st.success("Loaded NLP model from Hugging Face!")
35 | return model
36 |
37 | model = load_model()
38 | st.success("Got model successfully!")
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/03_working_with_interactive_widgets.py:
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1 | import streamlit as st
2 |
3 | # Title
4 | st.title("Streamlit Interactive Widget Examples")
5 |
6 | # Button
7 | if st.button("Click Me"):
8 | st.write("Button clicked!")
9 |
10 | # Checkbox
11 | checkbox_state = st.checkbox("Check me to enable something")
12 | if checkbox_state:
13 | st.write("Checkbox is checked!")
14 |
15 | # Radio button
16 | radio_selection = st.radio("Choose an option:", ["NLP", "CV", "DL", "ML"])
17 | st.write("You selected:", radio_selection)
18 |
19 | # Selectbox
20 | selectbox_selection = st.selectbox("Choose an item:", ["NLP", "CV", "DL", "ML"])
21 | st.write("You selected:", selectbox_selection)
22 |
23 | # Multiselect
24 | multiselect_selection = st.multiselect("Choose multiple items:", ["NLP", "CV", "DL", "ML"])
25 | st.write("You selected:", multiselect_selection)
26 |
27 | # Slider
28 | slider_value = st.slider("Select a value:", min_value=0, max_value=10, value=5, step=1)
29 | st.write("Slider value:", slider_value)
30 |
31 | # Select slider
32 | # select_slider_value = st.select_slider("Select a value:", options=range(10))
33 | select_slider_value = st.select_slider("Select a value:", options=[1, 4, 5, 6, 3, 2, 'NLP'])
34 |
35 | st.write("Selected slider value:", select_slider_value)
36 |
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/04_status_and_progress_indicators.py:
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1 | import streamlit as st
2 | import time
3 |
4 | # Title
5 | st.title("Streamlit Status and Progress Indicator Examples")
6 |
7 | # Empty
8 | st.subheader("Empty Element")
9 | empty_elem = st.empty()
10 | empty_elem.text("This text will be replaced after 3 seconds...")
11 | time.sleep(3)
12 | empty_elem.text("Replaced!")
13 |
14 | # Progress
15 | st.subheader("Progress Bar")
16 | progress_bar = st.progress(0)
17 | status_text = st.empty()
18 | for i in range(101):
19 | time.sleep(0.05)
20 | progress_bar.progress(i)
21 | status_text.text(f"Progress: {i}%")
22 | status_text.text("Progress: Done!")
23 |
24 | # Spinner
25 | st.subheader("Spinner")
26 | with st.spinner("Waiting..."):
27 | time.sleep(5)
28 | st.success("Process completed!")
29 |
30 | # Status
31 | st.subheader("Status")
32 | st.status("This is a status message")
33 |
34 | # Toast
35 | st.subheader("Toast")
36 | st.warning("This is a warning message")
37 | st.error("This is an error message")
38 | st.success("This is a success message")
39 | st.info("This is an info message")
40 |
41 | # Snow
42 | st.subheader("Snow")
43 | st.snow()
44 |
45 | # Balloons
46 | st.subheader("Balloons")
47 | st.balloons()
48 |
49 | # Success, error, warning, info
50 | st.subheader("Different Alert Types")
51 | st.success("Success alert message")
52 | st.error("Error alert message")
53 | st.warning("Warning alert message")
54 | st.info("Info alert message")
55 |
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/01_working_with_text_display.py:
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1 | import streamlit as st
2 |
3 | # Title
4 | st.title("Streamlit Text Display Example")
5 |
6 | # Header
7 | st.header("This is a Header")
8 |
9 | # Subheader
10 | st.subheader("This is a Subheader")
11 |
12 | # Text
13 | st.text("This is a simple text")
14 |
15 | # Write
16 | st.write("This is written using st.write()")
17 |
18 | # Markdown
19 | st.markdown("# This is a Markdown heading")
20 | st.markdown("[Markdown Cheat Sheet](https://www.markdownguide.org/cheat-sheet/)")
21 | st.markdown("This is a Markdown paragraph with **bold** and *italic* text")
22 | st.markdown("""
23 | 1. step 1
24 | 2. step 2
25 |
26 | - unordered step 1
27 | - step 2
28 | - substep 2.1
29 | """)
30 |
31 | # Emojis
32 | st.markdown("### Emojis")
33 | st.markdown("[Emojis](https://share.streamlit.io/streamlit/emoji-shortcodes)")
34 | st.markdown("Here are some emojis:")
35 | st.markdown(":thumbsup: :heart: :rocket: :smile:")
36 |
37 | # HTML
38 | st.markdown("### HTML")
39 | html_code = """
40 | This is a blue heading
41 | This is a green paragraph
42 | """
43 | st.markdown(html_code, unsafe_allow_html=True)
44 |
45 | # Divider
46 | st.markdown("""---""")
47 | st.divider()
48 |
49 | # LaTeX
50 | st.latex(r"e^{i\pi} + 1 = 0")
51 | st.latex(r"f(x) = x^2 + 2x + 1")
52 | st.latex(r"g(x) = \frac{1}{x}")
53 | st.latex(r"h(x) = \sqrt{x}")
54 | st.latex(r"y = mx + c")
55 | st.latex(r"a^2 + b^2 = c^2")
56 |
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/06_working_with_media_files.py:
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1 | import streamlit as st
2 |
3 | # streamlit run app.py --server.enableXsrfProtection false
4 |
5 | # Title
6 | st.title("Streamlit Media and File Examples")
7 |
8 |
9 | # Image
10 | st.subheader("Image")
11 | image = st.file_uploader("Upload an image:", type=["jpg", "jpeg", "png"])
12 | if image is not None:
13 | st.image(image, caption="Uploaded Image", width=100)
14 |
15 | # use link to display image
16 | st.image("https://kgptalkie.com/wp-content/uploads/2019/03/cropped-iPad-Pro-Copy@2x-1.png", caption="KGP Talkie Logo", width=100)
17 |
18 | # Audio
19 | st.subheader("Audio")
20 | audio = st.file_uploader("Upload an audio file:", type=["mp3", "wav"])
21 | if audio is not None:
22 | st.audio(audio, format="audio/mp3")
23 |
24 | # Video
25 | st.subheader("Video")
26 | video = st.file_uploader("Upload a video file:", type=["mp4"])
27 | st.write(video)
28 | if video is not None:
29 | st.video(video, format="video/mp4")
30 |
31 | # Use link to display video
32 | st.video("https://www.youtube.com/watch?v=LjZTXKaPz2M", format="video/mp4")
33 |
34 |
35 | # File Uploader
36 | st.subheader("File Uploader")
37 | uploaded_files = st.file_uploader("Choose files", accept_multiple_files=True)
38 | for uploaded_file in uploaded_files:
39 | bytes_data = uploaded_file.read()
40 | st.write("filename:", uploaded_file.name)
41 | # st.write(bytes_data)
42 | st.write("type:", uploaded_file.type)
43 | st.write("\n")
44 |
45 | # Download Button
46 | st.subheader("Download Button")
47 | download_data = "Hello, Streamlit!"
48 | st.download_button(label="Download Example Text", data=download_data, file_name="example.txt")
49 |
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/09_working_with_layouts_and_page_configuration.py:
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1 | import streamlit as st
2 | import time
3 |
4 | st.set_page_config(
5 | page_title="Cool App",
6 | page_icon="🧊",
7 | layout="wide", # centered
8 | initial_sidebar_state="expanded", # ("auto", "expanded", or "collapsed")
9 | menu_items={
10 | 'Get Help': 'https://www.site.com/help',
11 | 'Report a bug': "https://www.site.com/bug",
12 | 'About': "# This is a header. This is an *extremely* cool app!"
13 | }
14 | )
15 |
16 | # Sidebar Configuration
17 | st.sidebar.title("Page Configuration")# Page Content
18 | st.title("Working with Layouts and Page Configuration")
19 | st.sidebar.title("Working with sidebar")
20 |
21 |
22 | # # Columns
23 | st.write("## Columns")
24 | col1, col2 = st.columns(2)
25 | col1.write("This is column 1.")
26 | col2.write("This is column 2.")
27 |
28 | ## use columns ratio
29 | col1, col2 = st.columns([3,1])
30 | col1.write("This is column 1.")
31 | col2.write("This is column 2.")
32 |
33 | col1.button("Click Me")
34 | col2.button("Click Me Too")
35 |
36 | # Container
37 | st.write("## Container")
38 | container = st.container(border=True, height=200)
39 | container.write("This content is inside a container.")
40 | st.write("This content is outside the container.")
41 | container.write("Containers are useful for grouping content together.")
42 |
43 |
44 | # Form
45 | st.write("## Form")
46 | with st.form("my_form"):
47 | name = st.text_input("Enter your name")
48 | submit_button = st.form_submit_button("Submit")
49 | if submit_button:
50 | st.write("Hello,", name, "!")
51 |
52 | # Tabs
53 | st.write("## Tabs")
54 | tab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])
55 |
56 | with tab1:
57 | st.header("A cat")
58 | st.image("https://static.streamlit.io/examples/cat.jpg", width=200)
59 |
60 | with tab2:
61 | st.header("A dog")
62 | st.image("https://static.streamlit.io/examples/dog.jpg", width=200)
63 |
64 | with tab3:
65 | st.header("An owl")
66 | st.image("https://static.streamlit.io/examples/owl.jpg", width=200)
67 |
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/app.py:
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1 | ## pip install streamlit #use it on Python 3.8
2 | import streamlit as st
3 | from io import BytesIO
4 | from PIL import Image
5 | from rembg import remove
6 | from cartooner import cartoonize
7 | import cv2
8 |
9 | st.set_page_config(layout="wide", page_title="Image Background Remover")
10 |
11 | st.write("## Remove background from your image")
12 | st.write(
13 | ":dog: Try uploading an image to watch the background magically removed."
14 | )
15 | st.sidebar.write("## Upload and download :gear:")
16 |
17 | # Create the file uploader
18 | my_upload = st.sidebar.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
19 |
20 | alpha_matting = st.sidebar.checkbox("Use Alpha Matting", value=True)
21 | threshold = st.sidebar.slider("Background Threshold", 0, 255, value=50, step=5)
22 |
23 |
24 | # Download the fixed image
25 | def convert_image(img):
26 | buf = BytesIO()
27 | img.save(buf, format="PNG")
28 | byte_im = buf.getvalue()
29 | return byte_im
30 |
31 | # Package the transform into a function
32 | def remove_bg(upload, threshold, alpha_matting):
33 | image = Image.open(upload)
34 |
35 | # Create the columns
36 | col1, col2 = st.columns(2)
37 | col1.write("Original Image :camera:")
38 | col1.image(image)
39 |
40 | st.write("## Cartoonized Image")
41 | cartoon = cartoonize(image)
42 | img = Image.fromarray(cartoon)
43 | st.image(img)
44 |
45 | fixed = remove(image, alpha_matting=alpha_matting, alpha_matting_foreground_threshold=threshold)
46 |
47 | col2.write("Fixed Image :wrench:")
48 | col2.image(fixed)
49 | st.sidebar.markdown("---")
50 |
51 |
52 | st.sidebar.download_button(
53 | "Download fixed image", convert_image(fixed), "fixed.png", "image/png"
54 | )
55 |
56 | st.sidebar.download_button(
57 | "Download cartoonized image", convert_image(img), "cartoon.png", "image/png"
58 | )
59 |
60 | # Fix the image!
61 | if my_upload is not None:
62 | remove_bg(upload=my_upload, threshold=threshold, alpha_matting=alpha_matting)
63 | else:
64 | remove_bg("./images/cat.jpg", threshold=threshold, alpha_matting=alpha_matting)
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/11_model_deployement.py:
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1 | ## pip install streamlit #use it on Python 3.8
2 | import streamlit as st
3 | from io import BytesIO
4 | from PIL import Image
5 | from rembg import remove
6 | from cartooner import cartoonize
7 | import cv2
8 |
9 | st.set_page_config(layout="wide", page_title="Image Background Remover")
10 |
11 | st.write("## Remove background from your image")
12 | st.write(
13 | ":dog: Try uploading an image to watch the background magically removed."
14 | )
15 | st.sidebar.write("## Upload and download :gear:")
16 |
17 | # Create the file uploader
18 | my_upload = st.sidebar.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
19 |
20 | alpha_matting = st.sidebar.checkbox("Use Alpha Matting", value=True)
21 | threshold = st.sidebar.slider("Background Threshold", 0, 255, value=50, step=5)
22 |
23 |
24 | # Download the fixed image
25 | def convert_image(img):
26 | buf = BytesIO()
27 | img.save(buf, format="PNG")
28 | byte_im = buf.getvalue()
29 | return byte_im
30 |
31 | # Package the transform into a function
32 | def remove_bg(upload, threshold, alpha_matting):
33 | image = Image.open(upload)
34 |
35 | # Create the columns
36 | col1, col2 = st.columns(2)
37 | col1.write("Original Image :camera:")
38 | col1.image(image)
39 |
40 | st.write("## Cartoonized Image")
41 | cartoon = cartoonize(image)
42 | img = Image.fromarray(cartoon)
43 | st.image(img)
44 |
45 | fixed = remove(image, alpha_matting=alpha_matting, alpha_matting_foreground_threshold=threshold)
46 |
47 | col2.write("Fixed Image :wrench:")
48 | col2.image(fixed)
49 | st.sidebar.markdown("---")
50 |
51 |
52 | st.sidebar.download_button(
53 | "Download fixed image", convert_image(fixed), "fixed.png", "image/png"
54 | )
55 |
56 | st.sidebar.download_button(
57 | "Download cartoonized image", convert_image(img), "cartoon.png", "image/png"
58 | )
59 |
60 | # Fix the image!
61 | if my_upload is not None:
62 | remove_bg(upload=my_upload, threshold=threshold, alpha_matting=alpha_matting)
63 | else:
64 | remove_bg("./images/cat.jpg", threshold=threshold, alpha_matting=alpha_matting)
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/07_working_with_plotting_libraries.py:
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1 | import streamlit as st
2 | import numpy as np
3 | import pandas as pd
4 | import matplotlib.pyplot as plt
5 | import altair as alt
6 | import plotly.express as px
7 | import seaborn as sns
8 |
9 | # Title
10 | st.title("Streamlit Plotting Libraries Examples")
11 |
12 | df = pd.read_csv("./2 Tutorials/data/auto.csv")
13 | st.dataframe(df.head())
14 | columns = ["mpg","cylinders","displacement","horsepower","weight",
15 | "acceleration","year","origin","name"
16 | ]
17 |
18 | # Area Chart
19 | st.subheader("Area Chart")
20 | st.area_chart(df[['mpg', 'cylinders']])
21 |
22 | # Bar Chart
23 | st.subheader("Bar Chart")
24 | st.bar_chart(df[['mpg', 'cylinders']].head(20))
25 |
26 | # Line Chart
27 | st.subheader("Line Chart")
28 | st.line_chart(df[['mpg', 'cylinders']].head(100))
29 |
30 | # Seaborn Plot
31 | st.subheader("Pyplot / Seaborn Plot")
32 | fig, ax = plt.subplots()
33 | corr_plot = sns.heatmap(df[['mpg', "cylinders", "displacement", "horsepower"]].corr(), annot=True)
34 | st.pyplot(fig)
35 |
36 | # line plot
37 | fig, ax = plt.subplots()
38 | ax.plot(df['mpg'])
39 | ax.set_xlabel('Index')
40 | ax.set_ylabel('mpg')
41 | ax.set_title('Line plot of mpg')
42 | st.pyplot(fig)
43 |
44 | #scatter plot
45 | fig, ax = plt.subplots()
46 | ax.scatter(df['mpg'], df['horsepower'])
47 | ax.set_xlabel('mpg')
48 | ax.set_ylabel('horsepower')
49 | ax.set_title('Scatter plot of mpg and horsepower')
50 | st.pyplot(fig)
51 |
52 |
53 | # Plotly Chart
54 | st.subheader("Plotly Chart")
55 | fig = px.scatter(df, x='mpg', y='horsepower', color='origin', hover_name='name')
56 | st.plotly_chart(fig)
57 |
58 |
59 | # Map
60 | st.subheader("Map")
61 | temp = pd.read_csv("./2 Tutorials/data/weather_data.csv")
62 | st.write(temp)
63 | st.map(temp, latitude='lat', longitude='lon', size='temp')
64 |
65 | # Altair Chart
66 | st.subheader("Altair Chart")
67 | columns = ["mpg","cylinders","displacement","horsepower","weight",
68 | "acceleration","year","origin","name"
69 | ]
70 | alt_chart = alt.Chart(df).mark_circle().encode(
71 | x='mpg',
72 | y='horsepower',
73 | color='origin',
74 | tooltip=['name', 'year']
75 | ).interactive()
76 | st.write(alt_chart)
77 |
78 |
79 |
--------------------------------------------------------------------------------
/Streamlit_Crash_Course/app.py:
--------------------------------------------------------------------------------
1 | ## Streamlit Application Basics
2 | # Reference Book: https://packt.link/17kvV
3 | # Code Repository: https://github.com/laxmimerit/streamlit-tutorials
4 | # streamlit run app.py
5 |
6 | import streamlit as st
7 |
8 | st.title("Streamlit Basics: This is Title")
9 |
10 | st.header("This is header")
11 |
12 | st.subheader("This is subheader")
13 |
14 | st.text("This is a simple text")
15 |
16 | st.write("This is a write method")
17 |
18 | st.header("Markdown and HTML")
19 | st.markdown("`This is markdown`")
20 |
21 | st.markdown("```import streamlit as st```")
22 |
23 | st.markdown("[KGP Talkie](https://youtube.com/kgptalkie)")
24 |
25 | st.markdown("#### this heading")
26 |
27 | html_page = """
28 |
29 |
30 |
31 |
32 | My First Heading
33 | My first paragraph.
34 |
35 | A Blue Heading
36 |
37 | A red paragraph.
38 |
39 |
40 |
41 | """
42 |
43 | st.markdown(html_page, unsafe_allow_html=True)
44 |
45 | st.header("Buttons")
46 |
47 | button = st.button("Submit This")
48 | if button:
49 | st.success("Button is clicked!!!")
50 |
51 | st.info("This is general info")
52 |
53 | st.warning("This is warning")
54 |
55 | st.error("This is an error")
56 |
57 | st.markdown("---")
58 |
59 | st.header("Audio, Video & Image")
60 | from PIL import Image
61 |
62 | #image
63 | img = Image.open("kgptalkie.png")
64 | st.image(image=img, width=100, caption="KGP Talkie Logo")
65 |
66 | #video
67 | video_file = open("sample-video.mp4", "rb")
68 | video_bytes = video_file.read()
69 | st.video(video_bytes)
70 |
71 | st.video("https://youtu.be/X_Ts7VhHgEU?si=I19jtg3G9ooxR7je")
72 |
73 | # audio
74 | audio_file = open("sample.mp3", "rb")
75 | audio_bytes = audio_file.read()
76 | st.audio(audio_bytes)
77 |
78 | st.markdown("---")
79 | st.header("Widgets")
80 |
81 | #button
82 | submit = st.button("Submit")
83 | if submit:
84 | st.text("button is clicked")
85 |
86 | #checkbox
87 | if st.checkbox("Checkboc"):
88 | st.write("Checkbox is selected")
89 |
90 | # Radio Button
91 | radio_button = st.radio("Which Topic You Want to See", ["DL", "NLP", "Graph", "ML"])
92 | st.write("You have selected: ", radio_button)
93 |
94 | #selectbox
95 | topics = st.selectbox("Your Interest", ["DL", "NLP", "Graph", "ML"])
96 |
97 | #multi select
98 | topics = st.multiselect("Your Interest", ["DL", "NLP", "Graph", "ML"])
99 | st.write(topics)
100 |
101 |
102 | # text input
103 | name = st.text_input("Your Name", "Write something")
104 | st.write("Your name is: ", name)
105 |
106 |
107 | st.text_input("Your Email")
108 | st.text_input("Your Mobile")
109 | st.number_input("What is item price")
110 | st.text_area("Write your feedback")
111 |
112 |
113 | # slider
114 | st.slider("Your happiness score", 10, 100, step=10)
115 |
116 | if st.button("balloons"):
117 | st.balloons()
118 |
119 | st.markdown("---")
120 | st.header("Dataframes and Tables")
121 |
122 | import pandas as pd
123 | df = pd.read_csv("auto.csv")
124 | st.dataframe(df.head())
125 |
126 | # st.table(df.head())
127 |
128 | # Plotting
129 | st.area_chart(df[['mpg', "cylinders"]])
130 | st.bar_chart(df[['mpg', 'cylinders']].head(20))
131 | st.line_chart(df[['mpg', 'cylinders']].head(100))
132 |
133 | # Seaborn and Matplotlib
134 | import matplotlib.pyplot as plt
135 | import seaborn as sns
136 |
137 |
138 | fig, ax = plt.subplots()
139 | corr_plot = sns.heatmap(df[['mpg', "cylinders", "displacement", "horsepower"]].corr(), annot=True)
140 | st.pyplot(fig)
141 |
142 | st.markdown("---")
143 | st.header("Date and Time")
144 |
145 | import datetime, time
146 | input_date = st.date_input("Select Your Date:")
147 | st.write("you have selected date: ", input_date)
148 |
149 | input_time = st.time_input("Select your time")
150 | st.write("you have selected time", input_time)
151 |
152 | st.markdown("---")
153 | st.header("Extra")
154 | data = {"name":"laxmi kant tiwari", "youtube": "https://kgptalkie.com"}
155 | st.markdown("`{}`".format(data))
156 | st.json(data)
157 |
158 | st.markdown("""```import pandas as pd```""")
159 |
160 | st.code("""
161 | import pandas as pd
162 | import numpy as np
163 | """, language='python')
164 |
165 | st.markdown("---")
166 | st.header("Progress bar and Spinner")
167 |
168 | import time
169 |
170 | st.button("Run")
171 | mybar = st.progress(0)
172 | for value in range(100):
173 | time.sleep(0.01)
174 | mybar.progress(value)
175 |
176 | with st.spinner("Please wait..."):
177 | time.sleep(10)
178 |
179 | st.success("Done!!!")
180 |
181 |
182 |
183 |
184 |
185 |
186 |
187 |
188 |
189 |
190 |
--------------------------------------------------------------------------------
/data/auto.csv:
--------------------------------------------------------------------------------
1 | "mpg","cylinders","displacement","horsepower","weight","acceleration","year","origin","name"
2 | 18,8,307,130,3504,12,70,1,"chevrolet chevelle malibu"
3 | 15,8,350,165,3693,11.5,70,1,"buick skylark 320"
4 | 18,8,318,150,3436,11,70,1,"plymouth satellite"
5 | 16,8,304,150,3433,12,70,1,"amc rebel sst"
6 | 17,8,302,140,3449,10.5,70,1,"ford torino"
7 | 15,8,429,198,4341,10,70,1,"ford galaxie 500"
8 | 14,8,454,220,4354,9,70,1,"chevrolet impala"
9 | 14,8,440,215,4312,8.5,70,1,"plymouth fury iii"
10 | 14,8,455,225,4425,10,70,1,"pontiac catalina"
11 | 15,8,390,190,3850,8.5,70,1,"amc ambassador dpl"
12 | 15,8,383,170,3563,10,70,1,"dodge challenger se"
13 | 14,8,340,160,3609,8,70,1,"plymouth 'cuda 340"
14 | 15,8,400,150,3761,9.5,70,1,"chevrolet monte carlo"
15 | 14,8,455,225,3086,10,70,1,"buick estate wagon (sw)"
16 | 24,4,113,95,2372,15,70,3,"toyota corona mark ii"
17 | 22,6,198,95,2833,15.5,70,1,"plymouth duster"
18 | 18,6,199,97,2774,15.5,70,1,"amc hornet"
19 | 21,6,200,85,2587,16,70,1,"ford maverick"
20 | 27,4,97,88,2130,14.5,70,3,"datsun pl510"
21 | 26,4,97,46,1835,20.5,70,2,"volkswagen 1131 deluxe sedan"
22 | 25,4,110,87,2672,17.5,70,2,"peugeot 504"
23 | 24,4,107,90,2430,14.5,70,2,"audi 100 ls"
24 | 25,4,104,95,2375,17.5,70,2,"saab 99e"
25 | 26,4,121,113,2234,12.5,70,2,"bmw 2002"
26 | 21,6,199,90,2648,15,70,1,"amc gremlin"
27 | 10,8,360,215,4615,14,70,1,"ford f250"
28 | 10,8,307,200,4376,15,70,1,"chevy c20"
29 | 11,8,318,210,4382,13.5,70,1,"dodge d200"
30 | 9,8,304,193,4732,18.5,70,1,"hi 1200d"
31 | 27,4,97,88,2130,14.5,71,3,"datsun pl510"
32 | 28,4,140,90,2264,15.5,71,1,"chevrolet vega 2300"
33 | 25,4,113,95,2228,14,71,3,"toyota corona"
34 | 19,6,232,100,2634,13,71,1,"amc gremlin"
35 | 16,6,225,105,3439,15.5,71,1,"plymouth satellite custom"
36 | 17,6,250,100,3329,15.5,71,1,"chevrolet chevelle malibu"
37 | 19,6,250,88,3302,15.5,71,1,"ford torino 500"
38 | 18,6,232,100,3288,15.5,71,1,"amc matador"
39 | 14,8,350,165,4209,12,71,1,"chevrolet impala"
40 | 14,8,400,175,4464,11.5,71,1,"pontiac catalina brougham"
41 | 14,8,351,153,4154,13.5,71,1,"ford galaxie 500"
42 | 14,8,318,150,4096,13,71,1,"plymouth fury iii"
43 | 12,8,383,180,4955,11.5,71,1,"dodge monaco (sw)"
44 | 13,8,400,170,4746,12,71,1,"ford country squire (sw)"
45 | 13,8,400,175,5140,12,71,1,"pontiac safari (sw)"
46 | 18,6,258,110,2962,13.5,71,1,"amc hornet sportabout (sw)"
47 | 22,4,140,72,2408,19,71,1,"chevrolet vega (sw)"
48 | 19,6,250,100,3282,15,71,1,"pontiac firebird"
49 | 18,6,250,88,3139,14.5,71,1,"ford mustang"
50 | 23,4,122,86,2220,14,71,1,"mercury capri 2000"
51 | 28,4,116,90,2123,14,71,2,"opel 1900"
52 | 30,4,79,70,2074,19.5,71,2,"peugeot 304"
53 | 30,4,88,76,2065,14.5,71,2,"fiat 124b"
54 | 31,4,71,65,1773,19,71,3,"toyota corolla 1200"
55 | 35,4,72,69,1613,18,71,3,"datsun 1200"
56 | 27,4,97,60,1834,19,71,2,"volkswagen model 111"
57 | 26,4,91,70,1955,20.5,71,1,"plymouth cricket"
58 | 24,4,113,95,2278,15.5,72,3,"toyota corona hardtop"
59 | 25,4,97.5,80,2126,17,72,1,"dodge colt hardtop"
60 | 23,4,97,54,2254,23.5,72,2,"volkswagen type 3"
61 | 20,4,140,90,2408,19.5,72,1,"chevrolet vega"
62 | 21,4,122,86,2226,16.5,72,1,"ford pinto runabout"
63 | 13,8,350,165,4274,12,72,1,"chevrolet impala"
64 | 14,8,400,175,4385,12,72,1,"pontiac catalina"
65 | 15,8,318,150,4135,13.5,72,1,"plymouth fury iii"
66 | 14,8,351,153,4129,13,72,1,"ford galaxie 500"
67 | 17,8,304,150,3672,11.5,72,1,"amc ambassador sst"
68 | 11,8,429,208,4633,11,72,1,"mercury marquis"
69 | 13,8,350,155,4502,13.5,72,1,"buick lesabre custom"
70 | 12,8,350,160,4456,13.5,72,1,"oldsmobile delta 88 royale"
71 | 13,8,400,190,4422,12.5,72,1,"chrysler newport royal"
72 | 19,3,70,97,2330,13.5,72,3,"mazda rx2 coupe"
73 | 15,8,304,150,3892,12.5,72,1,"amc matador (sw)"
74 | 13,8,307,130,4098,14,72,1,"chevrolet chevelle concours (sw)"
75 | 13,8,302,140,4294,16,72,1,"ford gran torino (sw)"
76 | 14,8,318,150,4077,14,72,1,"plymouth satellite custom (sw)"
77 | 18,4,121,112,2933,14.5,72,2,"volvo 145e (sw)"
78 | 22,4,121,76,2511,18,72,2,"volkswagen 411 (sw)"
79 | 21,4,120,87,2979,19.5,72,2,"peugeot 504 (sw)"
80 | 26,4,96,69,2189,18,72,2,"renault 12 (sw)"
81 | 22,4,122,86,2395,16,72,1,"ford pinto (sw)"
82 | 28,4,97,92,2288,17,72,3,"datsun 510 (sw)"
83 | 23,4,120,97,2506,14.5,72,3,"toyouta corona mark ii (sw)"
84 | 28,4,98,80,2164,15,72,1,"dodge colt (sw)"
85 | 27,4,97,88,2100,16.5,72,3,"toyota corolla 1600 (sw)"
86 | 13,8,350,175,4100,13,73,1,"buick century 350"
87 | 14,8,304,150,3672,11.5,73,1,"amc matador"
88 | 13,8,350,145,3988,13,73,1,"chevrolet malibu"
89 | 14,8,302,137,4042,14.5,73,1,"ford gran torino"
90 | 15,8,318,150,3777,12.5,73,1,"dodge coronet custom"
91 | 12,8,429,198,4952,11.5,73,1,"mercury marquis brougham"
92 | 13,8,400,150,4464,12,73,1,"chevrolet caprice classic"
93 | 13,8,351,158,4363,13,73,1,"ford ltd"
94 | 14,8,318,150,4237,14.5,73,1,"plymouth fury gran sedan"
95 | 13,8,440,215,4735,11,73,1,"chrysler new yorker brougham"
96 | 12,8,455,225,4951,11,73,1,"buick electra 225 custom"
97 | 13,8,360,175,3821,11,73,1,"amc ambassador brougham"
98 | 18,6,225,105,3121,16.5,73,1,"plymouth valiant"
99 | 16,6,250,100,3278,18,73,1,"chevrolet nova custom"
100 | 18,6,232,100,2945,16,73,1,"amc hornet"
101 | 18,6,250,88,3021,16.5,73,1,"ford maverick"
102 | 23,6,198,95,2904,16,73,1,"plymouth duster"
103 | 26,4,97,46,1950,21,73,2,"volkswagen super beetle"
104 | 11,8,400,150,4997,14,73,1,"chevrolet impala"
105 | 12,8,400,167,4906,12.5,73,1,"ford country"
106 | 13,8,360,170,4654,13,73,1,"plymouth custom suburb"
107 | 12,8,350,180,4499,12.5,73,1,"oldsmobile vista cruiser"
108 | 18,6,232,100,2789,15,73,1,"amc gremlin"
109 | 20,4,97,88,2279,19,73,3,"toyota carina"
110 | 21,4,140,72,2401,19.5,73,1,"chevrolet vega"
111 | 22,4,108,94,2379,16.5,73,3,"datsun 610"
112 | 18,3,70,90,2124,13.5,73,3,"maxda rx3"
113 | 19,4,122,85,2310,18.5,73,1,"ford pinto"
114 | 21,6,155,107,2472,14,73,1,"mercury capri v6"
115 | 26,4,98,90,2265,15.5,73,2,"fiat 124 sport coupe"
116 | 15,8,350,145,4082,13,73,1,"chevrolet monte carlo s"
117 | 16,8,400,230,4278,9.5,73,1,"pontiac grand prix"
118 | 29,4,68,49,1867,19.5,73,2,"fiat 128"
119 | 24,4,116,75,2158,15.5,73,2,"opel manta"
120 | 20,4,114,91,2582,14,73,2,"audi 100ls"
121 | 19,4,121,112,2868,15.5,73,2,"volvo 144ea"
122 | 15,8,318,150,3399,11,73,1,"dodge dart custom"
123 | 24,4,121,110,2660,14,73,2,"saab 99le"
124 | 20,6,156,122,2807,13.5,73,3,"toyota mark ii"
125 | 11,8,350,180,3664,11,73,1,"oldsmobile omega"
126 | 20,6,198,95,3102,16.5,74,1,"plymouth duster"
127 | 19,6,232,100,2901,16,74,1,"amc hornet"
128 | 15,6,250,100,3336,17,74,1,"chevrolet nova"
129 | 31,4,79,67,1950,19,74,3,"datsun b210"
130 | 26,4,122,80,2451,16.5,74,1,"ford pinto"
131 | 32,4,71,65,1836,21,74,3,"toyota corolla 1200"
132 | 25,4,140,75,2542,17,74,1,"chevrolet vega"
133 | 16,6,250,100,3781,17,74,1,"chevrolet chevelle malibu classic"
134 | 16,6,258,110,3632,18,74,1,"amc matador"
135 | 18,6,225,105,3613,16.5,74,1,"plymouth satellite sebring"
136 | 16,8,302,140,4141,14,74,1,"ford gran torino"
137 | 13,8,350,150,4699,14.5,74,1,"buick century luxus (sw)"
138 | 14,8,318,150,4457,13.5,74,1,"dodge coronet custom (sw)"
139 | 14,8,302,140,4638,16,74,1,"ford gran torino (sw)"
140 | 14,8,304,150,4257,15.5,74,1,"amc matador (sw)"
141 | 29,4,98,83,2219,16.5,74,2,"audi fox"
142 | 26,4,79,67,1963,15.5,74,2,"volkswagen dasher"
143 | 26,4,97,78,2300,14.5,74,2,"opel manta"
144 | 31,4,76,52,1649,16.5,74,3,"toyota corona"
145 | 32,4,83,61,2003,19,74,3,"datsun 710"
146 | 28,4,90,75,2125,14.5,74,1,"dodge colt"
147 | 24,4,90,75,2108,15.5,74,2,"fiat 128"
148 | 26,4,116,75,2246,14,74,2,"fiat 124 tc"
149 | 24,4,120,97,2489,15,74,3,"honda civic"
150 | 26,4,108,93,2391,15.5,74,3,"subaru"
151 | 31,4,79,67,2000,16,74,2,"fiat x1.9"
152 | 19,6,225,95,3264,16,75,1,"plymouth valiant custom"
153 | 18,6,250,105,3459,16,75,1,"chevrolet nova"
154 | 15,6,250,72,3432,21,75,1,"mercury monarch"
155 | 15,6,250,72,3158,19.5,75,1,"ford maverick"
156 | 16,8,400,170,4668,11.5,75,1,"pontiac catalina"
157 | 15,8,350,145,4440,14,75,1,"chevrolet bel air"
158 | 16,8,318,150,4498,14.5,75,1,"plymouth grand fury"
159 | 14,8,351,148,4657,13.5,75,1,"ford ltd"
160 | 17,6,231,110,3907,21,75,1,"buick century"
161 | 16,6,250,105,3897,18.5,75,1,"chevroelt chevelle malibu"
162 | 15,6,258,110,3730,19,75,1,"amc matador"
163 | 18,6,225,95,3785,19,75,1,"plymouth fury"
164 | 21,6,231,110,3039,15,75,1,"buick skyhawk"
165 | 20,8,262,110,3221,13.5,75,1,"chevrolet monza 2+2"
166 | 13,8,302,129,3169,12,75,1,"ford mustang ii"
167 | 29,4,97,75,2171,16,75,3,"toyota corolla"
168 | 23,4,140,83,2639,17,75,1,"ford pinto"
169 | 20,6,232,100,2914,16,75,1,"amc gremlin"
170 | 23,4,140,78,2592,18.5,75,1,"pontiac astro"
171 | 24,4,134,96,2702,13.5,75,3,"toyota corona"
172 | 25,4,90,71,2223,16.5,75,2,"volkswagen dasher"
173 | 24,4,119,97,2545,17,75,3,"datsun 710"
174 | 18,6,171,97,2984,14.5,75,1,"ford pinto"
175 | 29,4,90,70,1937,14,75,2,"volkswagen rabbit"
176 | 19,6,232,90,3211,17,75,1,"amc pacer"
177 | 23,4,115,95,2694,15,75,2,"audi 100ls"
178 | 23,4,120,88,2957,17,75,2,"peugeot 504"
179 | 22,4,121,98,2945,14.5,75,2,"volvo 244dl"
180 | 25,4,121,115,2671,13.5,75,2,"saab 99le"
181 | 33,4,91,53,1795,17.5,75,3,"honda civic cvcc"
182 | 28,4,107,86,2464,15.5,76,2,"fiat 131"
183 | 25,4,116,81,2220,16.9,76,2,"opel 1900"
184 | 25,4,140,92,2572,14.9,76,1,"capri ii"
185 | 26,4,98,79,2255,17.7,76,1,"dodge colt"
186 | 27,4,101,83,2202,15.3,76,2,"renault 12tl"
187 | 17.5,8,305,140,4215,13,76,1,"chevrolet chevelle malibu classic"
188 | 16,8,318,150,4190,13,76,1,"dodge coronet brougham"
189 | 15.5,8,304,120,3962,13.9,76,1,"amc matador"
190 | 14.5,8,351,152,4215,12.8,76,1,"ford gran torino"
191 | 22,6,225,100,3233,15.4,76,1,"plymouth valiant"
192 | 22,6,250,105,3353,14.5,76,1,"chevrolet nova"
193 | 24,6,200,81,3012,17.6,76,1,"ford maverick"
194 | 22.5,6,232,90,3085,17.6,76,1,"amc hornet"
195 | 29,4,85,52,2035,22.2,76,1,"chevrolet chevette"
196 | 24.5,4,98,60,2164,22.1,76,1,"chevrolet woody"
197 | 29,4,90,70,1937,14.2,76,2,"vw rabbit"
198 | 33,4,91,53,1795,17.4,76,3,"honda civic"
199 | 20,6,225,100,3651,17.7,76,1,"dodge aspen se"
200 | 18,6,250,78,3574,21,76,1,"ford granada ghia"
201 | 18.5,6,250,110,3645,16.2,76,1,"pontiac ventura sj"
202 | 17.5,6,258,95,3193,17.8,76,1,"amc pacer d/l"
203 | 29.5,4,97,71,1825,12.2,76,2,"volkswagen rabbit"
204 | 32,4,85,70,1990,17,76,3,"datsun b-210"
205 | 28,4,97,75,2155,16.4,76,3,"toyota corolla"
206 | 26.5,4,140,72,2565,13.6,76,1,"ford pinto"
207 | 20,4,130,102,3150,15.7,76,2,"volvo 245"
208 | 13,8,318,150,3940,13.2,76,1,"plymouth volare premier v8"
209 | 19,4,120,88,3270,21.9,76,2,"peugeot 504"
210 | 19,6,156,108,2930,15.5,76,3,"toyota mark ii"
211 | 16.5,6,168,120,3820,16.7,76,2,"mercedes-benz 280s"
212 | 16.5,8,350,180,4380,12.1,76,1,"cadillac seville"
213 | 13,8,350,145,4055,12,76,1,"chevy c10"
214 | 13,8,302,130,3870,15,76,1,"ford f108"
215 | 13,8,318,150,3755,14,76,1,"dodge d100"
216 | 31.5,4,98,68,2045,18.5,77,3,"honda accord cvcc"
217 | 30,4,111,80,2155,14.8,77,1,"buick opel isuzu deluxe"
218 | 36,4,79,58,1825,18.6,77,2,"renault 5 gtl"
219 | 25.5,4,122,96,2300,15.5,77,1,"plymouth arrow gs"
220 | 33.5,4,85,70,1945,16.8,77,3,"datsun f-10 hatchback"
221 | 17.5,8,305,145,3880,12.5,77,1,"chevrolet caprice classic"
222 | 17,8,260,110,4060,19,77,1,"oldsmobile cutlass supreme"
223 | 15.5,8,318,145,4140,13.7,77,1,"dodge monaco brougham"
224 | 15,8,302,130,4295,14.9,77,1,"mercury cougar brougham"
225 | 17.5,6,250,110,3520,16.4,77,1,"chevrolet concours"
226 | 20.5,6,231,105,3425,16.9,77,1,"buick skylark"
227 | 19,6,225,100,3630,17.7,77,1,"plymouth volare custom"
228 | 18.5,6,250,98,3525,19,77,1,"ford granada"
229 | 16,8,400,180,4220,11.1,77,1,"pontiac grand prix lj"
230 | 15.5,8,350,170,4165,11.4,77,1,"chevrolet monte carlo landau"
231 | 15.5,8,400,190,4325,12.2,77,1,"chrysler cordoba"
232 | 16,8,351,149,4335,14.5,77,1,"ford thunderbird"
233 | 29,4,97,78,1940,14.5,77,2,"volkswagen rabbit custom"
234 | 24.5,4,151,88,2740,16,77,1,"pontiac sunbird coupe"
235 | 26,4,97,75,2265,18.2,77,3,"toyota corolla liftback"
236 | 25.5,4,140,89,2755,15.8,77,1,"ford mustang ii 2+2"
237 | 30.5,4,98,63,2051,17,77,1,"chevrolet chevette"
238 | 33.5,4,98,83,2075,15.9,77,1,"dodge colt m/m"
239 | 30,4,97,67,1985,16.4,77,3,"subaru dl"
240 | 30.5,4,97,78,2190,14.1,77,2,"volkswagen dasher"
241 | 22,6,146,97,2815,14.5,77,3,"datsun 810"
242 | 21.5,4,121,110,2600,12.8,77,2,"bmw 320i"
243 | 21.5,3,80,110,2720,13.5,77,3,"mazda rx-4"
244 | 43.1,4,90,48,1985,21.5,78,2,"volkswagen rabbit custom diesel"
245 | 36.1,4,98,66,1800,14.4,78,1,"ford fiesta"
246 | 32.8,4,78,52,1985,19.4,78,3,"mazda glc deluxe"
247 | 39.4,4,85,70,2070,18.6,78,3,"datsun b210 gx"
248 | 36.1,4,91,60,1800,16.4,78,3,"honda civic cvcc"
249 | 19.9,8,260,110,3365,15.5,78,1,"oldsmobile cutlass salon brougham"
250 | 19.4,8,318,140,3735,13.2,78,1,"dodge diplomat"
251 | 20.2,8,302,139,3570,12.8,78,1,"mercury monarch ghia"
252 | 19.2,6,231,105,3535,19.2,78,1,"pontiac phoenix lj"
253 | 20.5,6,200,95,3155,18.2,78,1,"chevrolet malibu"
254 | 20.2,6,200,85,2965,15.8,78,1,"ford fairmont (auto)"
255 | 25.1,4,140,88,2720,15.4,78,1,"ford fairmont (man)"
256 | 20.5,6,225,100,3430,17.2,78,1,"plymouth volare"
257 | 19.4,6,232,90,3210,17.2,78,1,"amc concord"
258 | 20.6,6,231,105,3380,15.8,78,1,"buick century special"
259 | 20.8,6,200,85,3070,16.7,78,1,"mercury zephyr"
260 | 18.6,6,225,110,3620,18.7,78,1,"dodge aspen"
261 | 18.1,6,258,120,3410,15.1,78,1,"amc concord d/l"
262 | 19.2,8,305,145,3425,13.2,78,1,"chevrolet monte carlo landau"
263 | 17.7,6,231,165,3445,13.4,78,1,"buick regal sport coupe (turbo)"
264 | 18.1,8,302,139,3205,11.2,78,1,"ford futura"
265 | 17.5,8,318,140,4080,13.7,78,1,"dodge magnum xe"
266 | 30,4,98,68,2155,16.5,78,1,"chevrolet chevette"
267 | 27.5,4,134,95,2560,14.2,78,3,"toyota corona"
268 | 27.2,4,119,97,2300,14.7,78,3,"datsun 510"
269 | 30.9,4,105,75,2230,14.5,78,1,"dodge omni"
270 | 21.1,4,134,95,2515,14.8,78,3,"toyota celica gt liftback"
271 | 23.2,4,156,105,2745,16.7,78,1,"plymouth sapporo"
272 | 23.8,4,151,85,2855,17.6,78,1,"oldsmobile starfire sx"
273 | 23.9,4,119,97,2405,14.9,78,3,"datsun 200-sx"
274 | 20.3,5,131,103,2830,15.9,78,2,"audi 5000"
275 | 17,6,163,125,3140,13.6,78,2,"volvo 264gl"
276 | 21.6,4,121,115,2795,15.7,78,2,"saab 99gle"
277 | 16.2,6,163,133,3410,15.8,78,2,"peugeot 604sl"
278 | 31.5,4,89,71,1990,14.9,78,2,"volkswagen scirocco"
279 | 29.5,4,98,68,2135,16.6,78,3,"honda accord lx"
280 | 21.5,6,231,115,3245,15.4,79,1,"pontiac lemans v6"
281 | 19.8,6,200,85,2990,18.2,79,1,"mercury zephyr 6"
282 | 22.3,4,140,88,2890,17.3,79,1,"ford fairmont 4"
283 | 20.2,6,232,90,3265,18.2,79,1,"amc concord dl 6"
284 | 20.6,6,225,110,3360,16.6,79,1,"dodge aspen 6"
285 | 17,8,305,130,3840,15.4,79,1,"chevrolet caprice classic"
286 | 17.6,8,302,129,3725,13.4,79,1,"ford ltd landau"
287 | 16.5,8,351,138,3955,13.2,79,1,"mercury grand marquis"
288 | 18.2,8,318,135,3830,15.2,79,1,"dodge st. regis"
289 | 16.9,8,350,155,4360,14.9,79,1,"buick estate wagon (sw)"
290 | 15.5,8,351,142,4054,14.3,79,1,"ford country squire (sw)"
291 | 19.2,8,267,125,3605,15,79,1,"chevrolet malibu classic (sw)"
292 | 18.5,8,360,150,3940,13,79,1,"chrysler lebaron town @ country (sw)"
293 | 31.9,4,89,71,1925,14,79,2,"vw rabbit custom"
294 | 34.1,4,86,65,1975,15.2,79,3,"maxda glc deluxe"
295 | 35.7,4,98,80,1915,14.4,79,1,"dodge colt hatchback custom"
296 | 27.4,4,121,80,2670,15,79,1,"amc spirit dl"
297 | 25.4,5,183,77,3530,20.1,79,2,"mercedes benz 300d"
298 | 23,8,350,125,3900,17.4,79,1,"cadillac eldorado"
299 | 27.2,4,141,71,3190,24.8,79,2,"peugeot 504"
300 | 23.9,8,260,90,3420,22.2,79,1,"oldsmobile cutlass salon brougham"
301 | 34.2,4,105,70,2200,13.2,79,1,"plymouth horizon"
302 | 34.5,4,105,70,2150,14.9,79,1,"plymouth horizon tc3"
303 | 31.8,4,85,65,2020,19.2,79,3,"datsun 210"
304 | 37.3,4,91,69,2130,14.7,79,2,"fiat strada custom"
305 | 28.4,4,151,90,2670,16,79,1,"buick skylark limited"
306 | 28.8,6,173,115,2595,11.3,79,1,"chevrolet citation"
307 | 26.8,6,173,115,2700,12.9,79,1,"oldsmobile omega brougham"
308 | 33.5,4,151,90,2556,13.2,79,1,"pontiac phoenix"
309 | 41.5,4,98,76,2144,14.7,80,2,"vw rabbit"
310 | 38.1,4,89,60,1968,18.8,80,3,"toyota corolla tercel"
311 | 32.1,4,98,70,2120,15.5,80,1,"chevrolet chevette"
312 | 37.2,4,86,65,2019,16.4,80,3,"datsun 310"
313 | 28,4,151,90,2678,16.5,80,1,"chevrolet citation"
314 | 26.4,4,140,88,2870,18.1,80,1,"ford fairmont"
315 | 24.3,4,151,90,3003,20.1,80,1,"amc concord"
316 | 19.1,6,225,90,3381,18.7,80,1,"dodge aspen"
317 | 34.3,4,97,78,2188,15.8,80,2,"audi 4000"
318 | 29.8,4,134,90,2711,15.5,80,3,"toyota corona liftback"
319 | 31.3,4,120,75,2542,17.5,80,3,"mazda 626"
320 | 37,4,119,92,2434,15,80,3,"datsun 510 hatchback"
321 | 32.2,4,108,75,2265,15.2,80,3,"toyota corolla"
322 | 46.6,4,86,65,2110,17.9,80,3,"mazda glc"
323 | 27.9,4,156,105,2800,14.4,80,1,"dodge colt"
324 | 40.8,4,85,65,2110,19.2,80,3,"datsun 210"
325 | 44.3,4,90,48,2085,21.7,80,2,"vw rabbit c (diesel)"
326 | 43.4,4,90,48,2335,23.7,80,2,"vw dasher (diesel)"
327 | 36.4,5,121,67,2950,19.9,80,2,"audi 5000s (diesel)"
328 | 30,4,146,67,3250,21.8,80,2,"mercedes-benz 240d"
329 | 44.6,4,91,67,1850,13.8,80,3,"honda civic 1500 gl"
330 | 33.8,4,97,67,2145,18,80,3,"subaru dl"
331 | 29.8,4,89,62,1845,15.3,80,2,"vokswagen rabbit"
332 | 32.7,6,168,132,2910,11.4,80,3,"datsun 280-zx"
333 | 23.7,3,70,100,2420,12.5,80,3,"mazda rx-7 gs"
334 | 35,4,122,88,2500,15.1,80,2,"triumph tr7 coupe"
335 | 32.4,4,107,72,2290,17,80,3,"honda accord"
336 | 27.2,4,135,84,2490,15.7,81,1,"plymouth reliant"
337 | 26.6,4,151,84,2635,16.4,81,1,"buick skylark"
338 | 25.8,4,156,92,2620,14.4,81,1,"dodge aries wagon (sw)"
339 | 23.5,6,173,110,2725,12.6,81,1,"chevrolet citation"
340 | 30,4,135,84,2385,12.9,81,1,"plymouth reliant"
341 | 39.1,4,79,58,1755,16.9,81,3,"toyota starlet"
342 | 39,4,86,64,1875,16.4,81,1,"plymouth champ"
343 | 35.1,4,81,60,1760,16.1,81,3,"honda civic 1300"
344 | 32.3,4,97,67,2065,17.8,81,3,"subaru"
345 | 37,4,85,65,1975,19.4,81,3,"datsun 210 mpg"
346 | 37.7,4,89,62,2050,17.3,81,3,"toyota tercel"
347 | 34.1,4,91,68,1985,16,81,3,"mazda glc 4"
348 | 34.7,4,105,63,2215,14.9,81,1,"plymouth horizon 4"
349 | 34.4,4,98,65,2045,16.2,81,1,"ford escort 4w"
350 | 29.9,4,98,65,2380,20.7,81,1,"ford escort 2h"
351 | 33,4,105,74,2190,14.2,81,2,"volkswagen jetta"
352 | 33.7,4,107,75,2210,14.4,81,3,"honda prelude"
353 | 32.4,4,108,75,2350,16.8,81,3,"toyota corolla"
354 | 32.9,4,119,100,2615,14.8,81,3,"datsun 200sx"
355 | 31.6,4,120,74,2635,18.3,81,3,"mazda 626"
356 | 28.1,4,141,80,3230,20.4,81,2,"peugeot 505s turbo diesel"
357 | 30.7,6,145,76,3160,19.6,81,2,"volvo diesel"
358 | 25.4,6,168,116,2900,12.6,81,3,"toyota cressida"
359 | 24.2,6,146,120,2930,13.8,81,3,"datsun 810 maxima"
360 | 22.4,6,231,110,3415,15.8,81,1,"buick century"
361 | 26.6,8,350,105,3725,19,81,1,"oldsmobile cutlass ls"
362 | 20.2,6,200,88,3060,17.1,81,1,"ford granada gl"
363 | 17.6,6,225,85,3465,16.6,81,1,"chrysler lebaron salon"
364 | 28,4,112,88,2605,19.6,82,1,"chevrolet cavalier"
365 | 27,4,112,88,2640,18.6,82,1,"chevrolet cavalier wagon"
366 | 34,4,112,88,2395,18,82,1,"chevrolet cavalier 2-door"
367 | 31,4,112,85,2575,16.2,82,1,"pontiac j2000 se hatchback"
368 | 29,4,135,84,2525,16,82,1,"dodge aries se"
369 | 27,4,151,90,2735,18,82,1,"pontiac phoenix"
370 | 24,4,140,92,2865,16.4,82,1,"ford fairmont futura"
371 | 36,4,105,74,1980,15.3,82,2,"volkswagen rabbit l"
372 | 37,4,91,68,2025,18.2,82,3,"mazda glc custom l"
373 | 31,4,91,68,1970,17.6,82,3,"mazda glc custom"
374 | 38,4,105,63,2125,14.7,82,1,"plymouth horizon miser"
375 | 36,4,98,70,2125,17.3,82,1,"mercury lynx l"
376 | 36,4,120,88,2160,14.5,82,3,"nissan stanza xe"
377 | 36,4,107,75,2205,14.5,82,3,"honda accord"
378 | 34,4,108,70,2245,16.9,82,3,"toyota corolla"
379 | 38,4,91,67,1965,15,82,3,"honda civic"
380 | 32,4,91,67,1965,15.7,82,3,"honda civic (auto)"
381 | 38,4,91,67,1995,16.2,82,3,"datsun 310 gx"
382 | 25,6,181,110,2945,16.4,82,1,"buick century limited"
383 | 38,6,262,85,3015,17,82,1,"oldsmobile cutlass ciera (diesel)"
384 | 26,4,156,92,2585,14.5,82,1,"chrysler lebaron medallion"
385 | 22,6,232,112,2835,14.7,82,1,"ford granada l"
386 | 32,4,144,96,2665,13.9,82,3,"toyota celica gt"
387 | 36,4,135,84,2370,13,82,1,"dodge charger 2.2"
388 | 27,4,151,90,2950,17.3,82,1,"chevrolet camaro"
389 | 27,4,140,86,2790,15.6,82,1,"ford mustang gl"
390 | 44,4,97,52,2130,24.6,82,2,"vw pickup"
391 | 32,4,135,84,2295,11.6,82,1,"dodge rampage"
392 | 28,4,120,79,2625,18.6,82,1,"ford ranger"
393 | 31,4,119,82,2720,19.4,82,1,"chevy s-10"
394 |
--------------------------------------------------------------------------------
/Streamlit_Crash_Course/auto.csv:
--------------------------------------------------------------------------------
1 | "mpg","cylinders","displacement","horsepower","weight","acceleration","year","origin","name"
2 | 18,8,307,130,3504,12,70,1,"chevrolet chevelle malibu"
3 | 15,8,350,165,3693,11.5,70,1,"buick skylark 320"
4 | 18,8,318,150,3436,11,70,1,"plymouth satellite"
5 | 16,8,304,150,3433,12,70,1,"amc rebel sst"
6 | 17,8,302,140,3449,10.5,70,1,"ford torino"
7 | 15,8,429,198,4341,10,70,1,"ford galaxie 500"
8 | 14,8,454,220,4354,9,70,1,"chevrolet impala"
9 | 14,8,440,215,4312,8.5,70,1,"plymouth fury iii"
10 | 14,8,455,225,4425,10,70,1,"pontiac catalina"
11 | 15,8,390,190,3850,8.5,70,1,"amc ambassador dpl"
12 | 15,8,383,170,3563,10,70,1,"dodge challenger se"
13 | 14,8,340,160,3609,8,70,1,"plymouth 'cuda 340"
14 | 15,8,400,150,3761,9.5,70,1,"chevrolet monte carlo"
15 | 14,8,455,225,3086,10,70,1,"buick estate wagon (sw)"
16 | 24,4,113,95,2372,15,70,3,"toyota corona mark ii"
17 | 22,6,198,95,2833,15.5,70,1,"plymouth duster"
18 | 18,6,199,97,2774,15.5,70,1,"amc hornet"
19 | 21,6,200,85,2587,16,70,1,"ford maverick"
20 | 27,4,97,88,2130,14.5,70,3,"datsun pl510"
21 | 26,4,97,46,1835,20.5,70,2,"volkswagen 1131 deluxe sedan"
22 | 25,4,110,87,2672,17.5,70,2,"peugeot 504"
23 | 24,4,107,90,2430,14.5,70,2,"audi 100 ls"
24 | 25,4,104,95,2375,17.5,70,2,"saab 99e"
25 | 26,4,121,113,2234,12.5,70,2,"bmw 2002"
26 | 21,6,199,90,2648,15,70,1,"amc gremlin"
27 | 10,8,360,215,4615,14,70,1,"ford f250"
28 | 10,8,307,200,4376,15,70,1,"chevy c20"
29 | 11,8,318,210,4382,13.5,70,1,"dodge d200"
30 | 9,8,304,193,4732,18.5,70,1,"hi 1200d"
31 | 27,4,97,88,2130,14.5,71,3,"datsun pl510"
32 | 28,4,140,90,2264,15.5,71,1,"chevrolet vega 2300"
33 | 25,4,113,95,2228,14,71,3,"toyota corona"
34 | 19,6,232,100,2634,13,71,1,"amc gremlin"
35 | 16,6,225,105,3439,15.5,71,1,"plymouth satellite custom"
36 | 17,6,250,100,3329,15.5,71,1,"chevrolet chevelle malibu"
37 | 19,6,250,88,3302,15.5,71,1,"ford torino 500"
38 | 18,6,232,100,3288,15.5,71,1,"amc matador"
39 | 14,8,350,165,4209,12,71,1,"chevrolet impala"
40 | 14,8,400,175,4464,11.5,71,1,"pontiac catalina brougham"
41 | 14,8,351,153,4154,13.5,71,1,"ford galaxie 500"
42 | 14,8,318,150,4096,13,71,1,"plymouth fury iii"
43 | 12,8,383,180,4955,11.5,71,1,"dodge monaco (sw)"
44 | 13,8,400,170,4746,12,71,1,"ford country squire (sw)"
45 | 13,8,400,175,5140,12,71,1,"pontiac safari (sw)"
46 | 18,6,258,110,2962,13.5,71,1,"amc hornet sportabout (sw)"
47 | 22,4,140,72,2408,19,71,1,"chevrolet vega (sw)"
48 | 19,6,250,100,3282,15,71,1,"pontiac firebird"
49 | 18,6,250,88,3139,14.5,71,1,"ford mustang"
50 | 23,4,122,86,2220,14,71,1,"mercury capri 2000"
51 | 28,4,116,90,2123,14,71,2,"opel 1900"
52 | 30,4,79,70,2074,19.5,71,2,"peugeot 304"
53 | 30,4,88,76,2065,14.5,71,2,"fiat 124b"
54 | 31,4,71,65,1773,19,71,3,"toyota corolla 1200"
55 | 35,4,72,69,1613,18,71,3,"datsun 1200"
56 | 27,4,97,60,1834,19,71,2,"volkswagen model 111"
57 | 26,4,91,70,1955,20.5,71,1,"plymouth cricket"
58 | 24,4,113,95,2278,15.5,72,3,"toyota corona hardtop"
59 | 25,4,97.5,80,2126,17,72,1,"dodge colt hardtop"
60 | 23,4,97,54,2254,23.5,72,2,"volkswagen type 3"
61 | 20,4,140,90,2408,19.5,72,1,"chevrolet vega"
62 | 21,4,122,86,2226,16.5,72,1,"ford pinto runabout"
63 | 13,8,350,165,4274,12,72,1,"chevrolet impala"
64 | 14,8,400,175,4385,12,72,1,"pontiac catalina"
65 | 15,8,318,150,4135,13.5,72,1,"plymouth fury iii"
66 | 14,8,351,153,4129,13,72,1,"ford galaxie 500"
67 | 17,8,304,150,3672,11.5,72,1,"amc ambassador sst"
68 | 11,8,429,208,4633,11,72,1,"mercury marquis"
69 | 13,8,350,155,4502,13.5,72,1,"buick lesabre custom"
70 | 12,8,350,160,4456,13.5,72,1,"oldsmobile delta 88 royale"
71 | 13,8,400,190,4422,12.5,72,1,"chrysler newport royal"
72 | 19,3,70,97,2330,13.5,72,3,"mazda rx2 coupe"
73 | 15,8,304,150,3892,12.5,72,1,"amc matador (sw)"
74 | 13,8,307,130,4098,14,72,1,"chevrolet chevelle concours (sw)"
75 | 13,8,302,140,4294,16,72,1,"ford gran torino (sw)"
76 | 14,8,318,150,4077,14,72,1,"plymouth satellite custom (sw)"
77 | 18,4,121,112,2933,14.5,72,2,"volvo 145e (sw)"
78 | 22,4,121,76,2511,18,72,2,"volkswagen 411 (sw)"
79 | 21,4,120,87,2979,19.5,72,2,"peugeot 504 (sw)"
80 | 26,4,96,69,2189,18,72,2,"renault 12 (sw)"
81 | 22,4,122,86,2395,16,72,1,"ford pinto (sw)"
82 | 28,4,97,92,2288,17,72,3,"datsun 510 (sw)"
83 | 23,4,120,97,2506,14.5,72,3,"toyouta corona mark ii (sw)"
84 | 28,4,98,80,2164,15,72,1,"dodge colt (sw)"
85 | 27,4,97,88,2100,16.5,72,3,"toyota corolla 1600 (sw)"
86 | 13,8,350,175,4100,13,73,1,"buick century 350"
87 | 14,8,304,150,3672,11.5,73,1,"amc matador"
88 | 13,8,350,145,3988,13,73,1,"chevrolet malibu"
89 | 14,8,302,137,4042,14.5,73,1,"ford gran torino"
90 | 15,8,318,150,3777,12.5,73,1,"dodge coronet custom"
91 | 12,8,429,198,4952,11.5,73,1,"mercury marquis brougham"
92 | 13,8,400,150,4464,12,73,1,"chevrolet caprice classic"
93 | 13,8,351,158,4363,13,73,1,"ford ltd"
94 | 14,8,318,150,4237,14.5,73,1,"plymouth fury gran sedan"
95 | 13,8,440,215,4735,11,73,1,"chrysler new yorker brougham"
96 | 12,8,455,225,4951,11,73,1,"buick electra 225 custom"
97 | 13,8,360,175,3821,11,73,1,"amc ambassador brougham"
98 | 18,6,225,105,3121,16.5,73,1,"plymouth valiant"
99 | 16,6,250,100,3278,18,73,1,"chevrolet nova custom"
100 | 18,6,232,100,2945,16,73,1,"amc hornet"
101 | 18,6,250,88,3021,16.5,73,1,"ford maverick"
102 | 23,6,198,95,2904,16,73,1,"plymouth duster"
103 | 26,4,97,46,1950,21,73,2,"volkswagen super beetle"
104 | 11,8,400,150,4997,14,73,1,"chevrolet impala"
105 | 12,8,400,167,4906,12.5,73,1,"ford country"
106 | 13,8,360,170,4654,13,73,1,"plymouth custom suburb"
107 | 12,8,350,180,4499,12.5,73,1,"oldsmobile vista cruiser"
108 | 18,6,232,100,2789,15,73,1,"amc gremlin"
109 | 20,4,97,88,2279,19,73,3,"toyota carina"
110 | 21,4,140,72,2401,19.5,73,1,"chevrolet vega"
111 | 22,4,108,94,2379,16.5,73,3,"datsun 610"
112 | 18,3,70,90,2124,13.5,73,3,"maxda rx3"
113 | 19,4,122,85,2310,18.5,73,1,"ford pinto"
114 | 21,6,155,107,2472,14,73,1,"mercury capri v6"
115 | 26,4,98,90,2265,15.5,73,2,"fiat 124 sport coupe"
116 | 15,8,350,145,4082,13,73,1,"chevrolet monte carlo s"
117 | 16,8,400,230,4278,9.5,73,1,"pontiac grand prix"
118 | 29,4,68,49,1867,19.5,73,2,"fiat 128"
119 | 24,4,116,75,2158,15.5,73,2,"opel manta"
120 | 20,4,114,91,2582,14,73,2,"audi 100ls"
121 | 19,4,121,112,2868,15.5,73,2,"volvo 144ea"
122 | 15,8,318,150,3399,11,73,1,"dodge dart custom"
123 | 24,4,121,110,2660,14,73,2,"saab 99le"
124 | 20,6,156,122,2807,13.5,73,3,"toyota mark ii"
125 | 11,8,350,180,3664,11,73,1,"oldsmobile omega"
126 | 20,6,198,95,3102,16.5,74,1,"plymouth duster"
127 | 19,6,232,100,2901,16,74,1,"amc hornet"
128 | 15,6,250,100,3336,17,74,1,"chevrolet nova"
129 | 31,4,79,67,1950,19,74,3,"datsun b210"
130 | 26,4,122,80,2451,16.5,74,1,"ford pinto"
131 | 32,4,71,65,1836,21,74,3,"toyota corolla 1200"
132 | 25,4,140,75,2542,17,74,1,"chevrolet vega"
133 | 16,6,250,100,3781,17,74,1,"chevrolet chevelle malibu classic"
134 | 16,6,258,110,3632,18,74,1,"amc matador"
135 | 18,6,225,105,3613,16.5,74,1,"plymouth satellite sebring"
136 | 16,8,302,140,4141,14,74,1,"ford gran torino"
137 | 13,8,350,150,4699,14.5,74,1,"buick century luxus (sw)"
138 | 14,8,318,150,4457,13.5,74,1,"dodge coronet custom (sw)"
139 | 14,8,302,140,4638,16,74,1,"ford gran torino (sw)"
140 | 14,8,304,150,4257,15.5,74,1,"amc matador (sw)"
141 | 29,4,98,83,2219,16.5,74,2,"audi fox"
142 | 26,4,79,67,1963,15.5,74,2,"volkswagen dasher"
143 | 26,4,97,78,2300,14.5,74,2,"opel manta"
144 | 31,4,76,52,1649,16.5,74,3,"toyota corona"
145 | 32,4,83,61,2003,19,74,3,"datsun 710"
146 | 28,4,90,75,2125,14.5,74,1,"dodge colt"
147 | 24,4,90,75,2108,15.5,74,2,"fiat 128"
148 | 26,4,116,75,2246,14,74,2,"fiat 124 tc"
149 | 24,4,120,97,2489,15,74,3,"honda civic"
150 | 26,4,108,93,2391,15.5,74,3,"subaru"
151 | 31,4,79,67,2000,16,74,2,"fiat x1.9"
152 | 19,6,225,95,3264,16,75,1,"plymouth valiant custom"
153 | 18,6,250,105,3459,16,75,1,"chevrolet nova"
154 | 15,6,250,72,3432,21,75,1,"mercury monarch"
155 | 15,6,250,72,3158,19.5,75,1,"ford maverick"
156 | 16,8,400,170,4668,11.5,75,1,"pontiac catalina"
157 | 15,8,350,145,4440,14,75,1,"chevrolet bel air"
158 | 16,8,318,150,4498,14.5,75,1,"plymouth grand fury"
159 | 14,8,351,148,4657,13.5,75,1,"ford ltd"
160 | 17,6,231,110,3907,21,75,1,"buick century"
161 | 16,6,250,105,3897,18.5,75,1,"chevroelt chevelle malibu"
162 | 15,6,258,110,3730,19,75,1,"amc matador"
163 | 18,6,225,95,3785,19,75,1,"plymouth fury"
164 | 21,6,231,110,3039,15,75,1,"buick skyhawk"
165 | 20,8,262,110,3221,13.5,75,1,"chevrolet monza 2+2"
166 | 13,8,302,129,3169,12,75,1,"ford mustang ii"
167 | 29,4,97,75,2171,16,75,3,"toyota corolla"
168 | 23,4,140,83,2639,17,75,1,"ford pinto"
169 | 20,6,232,100,2914,16,75,1,"amc gremlin"
170 | 23,4,140,78,2592,18.5,75,1,"pontiac astro"
171 | 24,4,134,96,2702,13.5,75,3,"toyota corona"
172 | 25,4,90,71,2223,16.5,75,2,"volkswagen dasher"
173 | 24,4,119,97,2545,17,75,3,"datsun 710"
174 | 18,6,171,97,2984,14.5,75,1,"ford pinto"
175 | 29,4,90,70,1937,14,75,2,"volkswagen rabbit"
176 | 19,6,232,90,3211,17,75,1,"amc pacer"
177 | 23,4,115,95,2694,15,75,2,"audi 100ls"
178 | 23,4,120,88,2957,17,75,2,"peugeot 504"
179 | 22,4,121,98,2945,14.5,75,2,"volvo 244dl"
180 | 25,4,121,115,2671,13.5,75,2,"saab 99le"
181 | 33,4,91,53,1795,17.5,75,3,"honda civic cvcc"
182 | 28,4,107,86,2464,15.5,76,2,"fiat 131"
183 | 25,4,116,81,2220,16.9,76,2,"opel 1900"
184 | 25,4,140,92,2572,14.9,76,1,"capri ii"
185 | 26,4,98,79,2255,17.7,76,1,"dodge colt"
186 | 27,4,101,83,2202,15.3,76,2,"renault 12tl"
187 | 17.5,8,305,140,4215,13,76,1,"chevrolet chevelle malibu classic"
188 | 16,8,318,150,4190,13,76,1,"dodge coronet brougham"
189 | 15.5,8,304,120,3962,13.9,76,1,"amc matador"
190 | 14.5,8,351,152,4215,12.8,76,1,"ford gran torino"
191 | 22,6,225,100,3233,15.4,76,1,"plymouth valiant"
192 | 22,6,250,105,3353,14.5,76,1,"chevrolet nova"
193 | 24,6,200,81,3012,17.6,76,1,"ford maverick"
194 | 22.5,6,232,90,3085,17.6,76,1,"amc hornet"
195 | 29,4,85,52,2035,22.2,76,1,"chevrolet chevette"
196 | 24.5,4,98,60,2164,22.1,76,1,"chevrolet woody"
197 | 29,4,90,70,1937,14.2,76,2,"vw rabbit"
198 | 33,4,91,53,1795,17.4,76,3,"honda civic"
199 | 20,6,225,100,3651,17.7,76,1,"dodge aspen se"
200 | 18,6,250,78,3574,21,76,1,"ford granada ghia"
201 | 18.5,6,250,110,3645,16.2,76,1,"pontiac ventura sj"
202 | 17.5,6,258,95,3193,17.8,76,1,"amc pacer d/l"
203 | 29.5,4,97,71,1825,12.2,76,2,"volkswagen rabbit"
204 | 32,4,85,70,1990,17,76,3,"datsun b-210"
205 | 28,4,97,75,2155,16.4,76,3,"toyota corolla"
206 | 26.5,4,140,72,2565,13.6,76,1,"ford pinto"
207 | 20,4,130,102,3150,15.7,76,2,"volvo 245"
208 | 13,8,318,150,3940,13.2,76,1,"plymouth volare premier v8"
209 | 19,4,120,88,3270,21.9,76,2,"peugeot 504"
210 | 19,6,156,108,2930,15.5,76,3,"toyota mark ii"
211 | 16.5,6,168,120,3820,16.7,76,2,"mercedes-benz 280s"
212 | 16.5,8,350,180,4380,12.1,76,1,"cadillac seville"
213 | 13,8,350,145,4055,12,76,1,"chevy c10"
214 | 13,8,302,130,3870,15,76,1,"ford f108"
215 | 13,8,318,150,3755,14,76,1,"dodge d100"
216 | 31.5,4,98,68,2045,18.5,77,3,"honda accord cvcc"
217 | 30,4,111,80,2155,14.8,77,1,"buick opel isuzu deluxe"
218 | 36,4,79,58,1825,18.6,77,2,"renault 5 gtl"
219 | 25.5,4,122,96,2300,15.5,77,1,"plymouth arrow gs"
220 | 33.5,4,85,70,1945,16.8,77,3,"datsun f-10 hatchback"
221 | 17.5,8,305,145,3880,12.5,77,1,"chevrolet caprice classic"
222 | 17,8,260,110,4060,19,77,1,"oldsmobile cutlass supreme"
223 | 15.5,8,318,145,4140,13.7,77,1,"dodge monaco brougham"
224 | 15,8,302,130,4295,14.9,77,1,"mercury cougar brougham"
225 | 17.5,6,250,110,3520,16.4,77,1,"chevrolet concours"
226 | 20.5,6,231,105,3425,16.9,77,1,"buick skylark"
227 | 19,6,225,100,3630,17.7,77,1,"plymouth volare custom"
228 | 18.5,6,250,98,3525,19,77,1,"ford granada"
229 | 16,8,400,180,4220,11.1,77,1,"pontiac grand prix lj"
230 | 15.5,8,350,170,4165,11.4,77,1,"chevrolet monte carlo landau"
231 | 15.5,8,400,190,4325,12.2,77,1,"chrysler cordoba"
232 | 16,8,351,149,4335,14.5,77,1,"ford thunderbird"
233 | 29,4,97,78,1940,14.5,77,2,"volkswagen rabbit custom"
234 | 24.5,4,151,88,2740,16,77,1,"pontiac sunbird coupe"
235 | 26,4,97,75,2265,18.2,77,3,"toyota corolla liftback"
236 | 25.5,4,140,89,2755,15.8,77,1,"ford mustang ii 2+2"
237 | 30.5,4,98,63,2051,17,77,1,"chevrolet chevette"
238 | 33.5,4,98,83,2075,15.9,77,1,"dodge colt m/m"
239 | 30,4,97,67,1985,16.4,77,3,"subaru dl"
240 | 30.5,4,97,78,2190,14.1,77,2,"volkswagen dasher"
241 | 22,6,146,97,2815,14.5,77,3,"datsun 810"
242 | 21.5,4,121,110,2600,12.8,77,2,"bmw 320i"
243 | 21.5,3,80,110,2720,13.5,77,3,"mazda rx-4"
244 | 43.1,4,90,48,1985,21.5,78,2,"volkswagen rabbit custom diesel"
245 | 36.1,4,98,66,1800,14.4,78,1,"ford fiesta"
246 | 32.8,4,78,52,1985,19.4,78,3,"mazda glc deluxe"
247 | 39.4,4,85,70,2070,18.6,78,3,"datsun b210 gx"
248 | 36.1,4,91,60,1800,16.4,78,3,"honda civic cvcc"
249 | 19.9,8,260,110,3365,15.5,78,1,"oldsmobile cutlass salon brougham"
250 | 19.4,8,318,140,3735,13.2,78,1,"dodge diplomat"
251 | 20.2,8,302,139,3570,12.8,78,1,"mercury monarch ghia"
252 | 19.2,6,231,105,3535,19.2,78,1,"pontiac phoenix lj"
253 | 20.5,6,200,95,3155,18.2,78,1,"chevrolet malibu"
254 | 20.2,6,200,85,2965,15.8,78,1,"ford fairmont (auto)"
255 | 25.1,4,140,88,2720,15.4,78,1,"ford fairmont (man)"
256 | 20.5,6,225,100,3430,17.2,78,1,"plymouth volare"
257 | 19.4,6,232,90,3210,17.2,78,1,"amc concord"
258 | 20.6,6,231,105,3380,15.8,78,1,"buick century special"
259 | 20.8,6,200,85,3070,16.7,78,1,"mercury zephyr"
260 | 18.6,6,225,110,3620,18.7,78,1,"dodge aspen"
261 | 18.1,6,258,120,3410,15.1,78,1,"amc concord d/l"
262 | 19.2,8,305,145,3425,13.2,78,1,"chevrolet monte carlo landau"
263 | 17.7,6,231,165,3445,13.4,78,1,"buick regal sport coupe (turbo)"
264 | 18.1,8,302,139,3205,11.2,78,1,"ford futura"
265 | 17.5,8,318,140,4080,13.7,78,1,"dodge magnum xe"
266 | 30,4,98,68,2155,16.5,78,1,"chevrolet chevette"
267 | 27.5,4,134,95,2560,14.2,78,3,"toyota corona"
268 | 27.2,4,119,97,2300,14.7,78,3,"datsun 510"
269 | 30.9,4,105,75,2230,14.5,78,1,"dodge omni"
270 | 21.1,4,134,95,2515,14.8,78,3,"toyota celica gt liftback"
271 | 23.2,4,156,105,2745,16.7,78,1,"plymouth sapporo"
272 | 23.8,4,151,85,2855,17.6,78,1,"oldsmobile starfire sx"
273 | 23.9,4,119,97,2405,14.9,78,3,"datsun 200-sx"
274 | 20.3,5,131,103,2830,15.9,78,2,"audi 5000"
275 | 17,6,163,125,3140,13.6,78,2,"volvo 264gl"
276 | 21.6,4,121,115,2795,15.7,78,2,"saab 99gle"
277 | 16.2,6,163,133,3410,15.8,78,2,"peugeot 604sl"
278 | 31.5,4,89,71,1990,14.9,78,2,"volkswagen scirocco"
279 | 29.5,4,98,68,2135,16.6,78,3,"honda accord lx"
280 | 21.5,6,231,115,3245,15.4,79,1,"pontiac lemans v6"
281 | 19.8,6,200,85,2990,18.2,79,1,"mercury zephyr 6"
282 | 22.3,4,140,88,2890,17.3,79,1,"ford fairmont 4"
283 | 20.2,6,232,90,3265,18.2,79,1,"amc concord dl 6"
284 | 20.6,6,225,110,3360,16.6,79,1,"dodge aspen 6"
285 | 17,8,305,130,3840,15.4,79,1,"chevrolet caprice classic"
286 | 17.6,8,302,129,3725,13.4,79,1,"ford ltd landau"
287 | 16.5,8,351,138,3955,13.2,79,1,"mercury grand marquis"
288 | 18.2,8,318,135,3830,15.2,79,1,"dodge st. regis"
289 | 16.9,8,350,155,4360,14.9,79,1,"buick estate wagon (sw)"
290 | 15.5,8,351,142,4054,14.3,79,1,"ford country squire (sw)"
291 | 19.2,8,267,125,3605,15,79,1,"chevrolet malibu classic (sw)"
292 | 18.5,8,360,150,3940,13,79,1,"chrysler lebaron town @ country (sw)"
293 | 31.9,4,89,71,1925,14,79,2,"vw rabbit custom"
294 | 34.1,4,86,65,1975,15.2,79,3,"maxda glc deluxe"
295 | 35.7,4,98,80,1915,14.4,79,1,"dodge colt hatchback custom"
296 | 27.4,4,121,80,2670,15,79,1,"amc spirit dl"
297 | 25.4,5,183,77,3530,20.1,79,2,"mercedes benz 300d"
298 | 23,8,350,125,3900,17.4,79,1,"cadillac eldorado"
299 | 27.2,4,141,71,3190,24.8,79,2,"peugeot 504"
300 | 23.9,8,260,90,3420,22.2,79,1,"oldsmobile cutlass salon brougham"
301 | 34.2,4,105,70,2200,13.2,79,1,"plymouth horizon"
302 | 34.5,4,105,70,2150,14.9,79,1,"plymouth horizon tc3"
303 | 31.8,4,85,65,2020,19.2,79,3,"datsun 210"
304 | 37.3,4,91,69,2130,14.7,79,2,"fiat strada custom"
305 | 28.4,4,151,90,2670,16,79,1,"buick skylark limited"
306 | 28.8,6,173,115,2595,11.3,79,1,"chevrolet citation"
307 | 26.8,6,173,115,2700,12.9,79,1,"oldsmobile omega brougham"
308 | 33.5,4,151,90,2556,13.2,79,1,"pontiac phoenix"
309 | 41.5,4,98,76,2144,14.7,80,2,"vw rabbit"
310 | 38.1,4,89,60,1968,18.8,80,3,"toyota corolla tercel"
311 | 32.1,4,98,70,2120,15.5,80,1,"chevrolet chevette"
312 | 37.2,4,86,65,2019,16.4,80,3,"datsun 310"
313 | 28,4,151,90,2678,16.5,80,1,"chevrolet citation"
314 | 26.4,4,140,88,2870,18.1,80,1,"ford fairmont"
315 | 24.3,4,151,90,3003,20.1,80,1,"amc concord"
316 | 19.1,6,225,90,3381,18.7,80,1,"dodge aspen"
317 | 34.3,4,97,78,2188,15.8,80,2,"audi 4000"
318 | 29.8,4,134,90,2711,15.5,80,3,"toyota corona liftback"
319 | 31.3,4,120,75,2542,17.5,80,3,"mazda 626"
320 | 37,4,119,92,2434,15,80,3,"datsun 510 hatchback"
321 | 32.2,4,108,75,2265,15.2,80,3,"toyota corolla"
322 | 46.6,4,86,65,2110,17.9,80,3,"mazda glc"
323 | 27.9,4,156,105,2800,14.4,80,1,"dodge colt"
324 | 40.8,4,85,65,2110,19.2,80,3,"datsun 210"
325 | 44.3,4,90,48,2085,21.7,80,2,"vw rabbit c (diesel)"
326 | 43.4,4,90,48,2335,23.7,80,2,"vw dasher (diesel)"
327 | 36.4,5,121,67,2950,19.9,80,2,"audi 5000s (diesel)"
328 | 30,4,146,67,3250,21.8,80,2,"mercedes-benz 240d"
329 | 44.6,4,91,67,1850,13.8,80,3,"honda civic 1500 gl"
330 | 33.8,4,97,67,2145,18,80,3,"subaru dl"
331 | 29.8,4,89,62,1845,15.3,80,2,"vokswagen rabbit"
332 | 32.7,6,168,132,2910,11.4,80,3,"datsun 280-zx"
333 | 23.7,3,70,100,2420,12.5,80,3,"mazda rx-7 gs"
334 | 35,4,122,88,2500,15.1,80,2,"triumph tr7 coupe"
335 | 32.4,4,107,72,2290,17,80,3,"honda accord"
336 | 27.2,4,135,84,2490,15.7,81,1,"plymouth reliant"
337 | 26.6,4,151,84,2635,16.4,81,1,"buick skylark"
338 | 25.8,4,156,92,2620,14.4,81,1,"dodge aries wagon (sw)"
339 | 23.5,6,173,110,2725,12.6,81,1,"chevrolet citation"
340 | 30,4,135,84,2385,12.9,81,1,"plymouth reliant"
341 | 39.1,4,79,58,1755,16.9,81,3,"toyota starlet"
342 | 39,4,86,64,1875,16.4,81,1,"plymouth champ"
343 | 35.1,4,81,60,1760,16.1,81,3,"honda civic 1300"
344 | 32.3,4,97,67,2065,17.8,81,3,"subaru"
345 | 37,4,85,65,1975,19.4,81,3,"datsun 210 mpg"
346 | 37.7,4,89,62,2050,17.3,81,3,"toyota tercel"
347 | 34.1,4,91,68,1985,16,81,3,"mazda glc 4"
348 | 34.7,4,105,63,2215,14.9,81,1,"plymouth horizon 4"
349 | 34.4,4,98,65,2045,16.2,81,1,"ford escort 4w"
350 | 29.9,4,98,65,2380,20.7,81,1,"ford escort 2h"
351 | 33,4,105,74,2190,14.2,81,2,"volkswagen jetta"
352 | 33.7,4,107,75,2210,14.4,81,3,"honda prelude"
353 | 32.4,4,108,75,2350,16.8,81,3,"toyota corolla"
354 | 32.9,4,119,100,2615,14.8,81,3,"datsun 200sx"
355 | 31.6,4,120,74,2635,18.3,81,3,"mazda 626"
356 | 28.1,4,141,80,3230,20.4,81,2,"peugeot 505s turbo diesel"
357 | 30.7,6,145,76,3160,19.6,81,2,"volvo diesel"
358 | 25.4,6,168,116,2900,12.6,81,3,"toyota cressida"
359 | 24.2,6,146,120,2930,13.8,81,3,"datsun 810 maxima"
360 | 22.4,6,231,110,3415,15.8,81,1,"buick century"
361 | 26.6,8,350,105,3725,19,81,1,"oldsmobile cutlass ls"
362 | 20.2,6,200,88,3060,17.1,81,1,"ford granada gl"
363 | 17.6,6,225,85,3465,16.6,81,1,"chrysler lebaron salon"
364 | 28,4,112,88,2605,19.6,82,1,"chevrolet cavalier"
365 | 27,4,112,88,2640,18.6,82,1,"chevrolet cavalier wagon"
366 | 34,4,112,88,2395,18,82,1,"chevrolet cavalier 2-door"
367 | 31,4,112,85,2575,16.2,82,1,"pontiac j2000 se hatchback"
368 | 29,4,135,84,2525,16,82,1,"dodge aries se"
369 | 27,4,151,90,2735,18,82,1,"pontiac phoenix"
370 | 24,4,140,92,2865,16.4,82,1,"ford fairmont futura"
371 | 36,4,105,74,1980,15.3,82,2,"volkswagen rabbit l"
372 | 37,4,91,68,2025,18.2,82,3,"mazda glc custom l"
373 | 31,4,91,68,1970,17.6,82,3,"mazda glc custom"
374 | 38,4,105,63,2125,14.7,82,1,"plymouth horizon miser"
375 | 36,4,98,70,2125,17.3,82,1,"mercury lynx l"
376 | 36,4,120,88,2160,14.5,82,3,"nissan stanza xe"
377 | 36,4,107,75,2205,14.5,82,3,"honda accord"
378 | 34,4,108,70,2245,16.9,82,3,"toyota corolla"
379 | 38,4,91,67,1965,15,82,3,"honda civic"
380 | 32,4,91,67,1965,15.7,82,3,"honda civic (auto)"
381 | 38,4,91,67,1995,16.2,82,3,"datsun 310 gx"
382 | 25,6,181,110,2945,16.4,82,1,"buick century limited"
383 | 38,6,262,85,3015,17,82,1,"oldsmobile cutlass ciera (diesel)"
384 | 26,4,156,92,2585,14.5,82,1,"chrysler lebaron medallion"
385 | 22,6,232,112,2835,14.7,82,1,"ford granada l"
386 | 32,4,144,96,2665,13.9,82,3,"toyota celica gt"
387 | 36,4,135,84,2370,13,82,1,"dodge charger 2.2"
388 | 27,4,151,90,2950,17.3,82,1,"chevrolet camaro"
389 | 27,4,140,86,2790,15.6,82,1,"ford mustang gl"
390 | 44,4,97,52,2130,24.6,82,2,"vw pickup"
391 | 32,4,135,84,2295,11.6,82,1,"dodge rampage"
392 | 28,4,120,79,2625,18.6,82,1,"ford ranger"
393 | 31,4,119,82,2720,19.4,82,1,"chevy s-10"
394 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # 🚀 Complete AI & Machine Learning Course Collection
2 |
3 |
4 |
5 | 
6 |
7 | [](https://www.udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7)
8 | [](https://www.udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5)
9 | [](https://www.udemy.com/course/python-for-machine-learning-and-data-science-projects/?referralCode=C2A381E2EC08C84FFBFE)
10 | [](https://www.udemy.com/user/laxmi-kant-tiwari/)
11 |
12 | **Master AI Development • Build Production Applications • Deploy at Scale**
13 |
14 | [🤖 LLM Development](#-llm-and-ai-agent-development) • [📊 Machine Learning](#-machine-learning-and-data-science) • [🚀 Production](#-production-and-deployment)
15 |
16 |
17 |
18 | ---
19 |
20 | ## 🤖 LLM and AI Agent Development
21 |
22 |
23 | 🎯 Master OpenAI Agent Builder - Low-Code AI Projects Workflow
24 |
25 | > **🎯 Build and deploy AI agents visually using OpenAI Agent Builder, ChatKit, RAG, Chatbot, AI Assistant with MCP, AWS, RDS MySQL**
26 |
27 | **What You'll Master:**
28 | - ✅ **Visual AI Development:** Build AI agents without complex coding using OpenAI Agent Builder
29 | - ✅ **Real-World Integration:** Connect AI workflows with MySQL, AWS, and MCP connectors
30 | - ✅ **Production Deployment:** Deploy AI agents with ChatKit and Guardrails for safety
31 | - ✅ **Complete Projects:** Weather Agent, RAG Document Q&A Chatbot, E-Commerce AI Assistant
32 | - ✅ **Database Integration:** AWS RDS MySQL connection and management
33 | - ✅ **Cloud Deployment:** AWS Lambda and API Gateway for production use
34 |
35 |
36 |
37 | **🎯 Technologies:** OpenAI Agent Builder • ChatKit • AWS • RDS MySQL • MCP • Lambda • API Gateway
38 |
39 |
40 |
41 |
46 |
47 |
48 |
49 |
50 | 🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
51 |
52 | > **🎯 Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations**
53 |
54 | **What You'll Master:**
55 | - ✅ **MCP Architecture:** Client, server, and transport layers
56 | - ✅ **Claude Desktop Integration:** Direct MCP server connections
57 | - ✅ **Real-World Applications:** Data analysis servers for Excel, PowerPoint, SQLite
58 | - ✅ **RAG Implementation:** Vector databases with LangChain integration
59 | - ✅ **Production Deployment:** Testing, security, and cloud deployment
60 |
61 |
62 |
63 | **🎯 Technologies:** Python • Streamlit • ChromaDB • LangChain • LangGraph • Ollama
64 |
65 |
66 |
67 |
72 |
73 |
74 |
75 |
76 | 📊 Agentic RAG with LangChain and LangGraph - Ollama
77 |
78 | > **🎯 Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS**
79 |
80 | **Advanced RAG Techniques:**
81 | - 🧠 **Agentic RAG:** Intelligent, adaptive systems that act like smart assistants
82 | - 🔄 **Corrective RAG:** Self-improving and error-correcting mechanisms
83 | - 📊 **Document Processing:** Doclings integration for seamless document loading
84 | - 🚀 **Production Ready:** Streamlit apps and AWS EC2 deployment
85 |
86 |
87 |
88 | **Technologies:** LangChain • LangGraph • Ollama • DeepSeek R1 • QWEN • LLAMA • FAISS
89 |
90 |
91 |
92 |
97 |
98 |
99 |
100 |
101 | 🔧 Master LangGraph and LangChain with Ollama
102 |
103 | > **🎯 Agentic RAG and Chatbot, AI Agent, DeepSeek, LLAMA 3.2 Agent, FAISS Vector Database**
104 |
105 | **Build Production Chatbots:**
106 | - 💬 **Memory-Enabled Chatbots:** Dynamic conversations with persistent memory
107 | - 🗄️ **Database Integration:** Seamless MySQL query execution with LLMs
108 | - 📈 **State Management:** LangGraph workflows with advanced state machines
109 | - 🎯 **Private Data RAG:** Custom embeddings and vector database integration
110 |
111 |
112 |
113 | **Technologies:** LangGraph • LangChain • Ollama • DeepSeek • LLAMA 3.2 • MySQL • FAISS
114 |
115 |
116 |
117 |
122 |
123 |
124 |
125 |
126 | ⚡ Master Langchain and Ollama - Chatbot, RAG and Agents
127 |
128 | > **🎯 Master Langchain v0.3, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Complete Integration Guide**
129 |
130 | **Complete LangChain Journey:**
131 | - 🛠️ **Setup & Integration:** Professional Ollama and Langchain configuration
132 | - 💬 **Custom Chatbots:** Memory, history, and advanced features with Streamlit
133 | - ⛓️ **Prompt Engineering:** Templates, chains (Sequential, Parallel, Router)
134 | - 🤖 **Agent Development:** Custom tools and step-by-step instruction execution
135 | - 🚀 **AWS Deployment:** Production-ready applications on AWS EC2
136 |
137 |
138 |
139 | **Technologies:** Langchain v0.3 • Ollama • DeepSeek • LLAMA 3.2 • Streamlit • AWS EC2
140 |
141 |
142 |
143 |
148 |
149 |
150 |
151 |
152 | 🔬 Fine Tuning LLM with Hugging Face Transformers for NLP
153 |
154 | > **🎯 Learn transformer architecture fundamentals and fine-tune LLMs with custom datasets**
155 |
156 | **Advanced LLM Customization:**
157 | - 🧠 **Transformer Deep Dive:** Architecture fundamentals and mathematical foundations
158 | - 📊 **Custom Dataset Preparation:** Data preprocessing and formatting techniques
159 | - ⚡ **Fine-tuning Mastery:** Advanced optimization and training strategies
160 | - 🎯 **Model Optimization:** Performance tuning and evaluation methodologies
161 |
162 |
163 |
164 | **Technologies:** Hugging Face Transformers • PyTorch • Custom Datasets • Advanced NLP
165 |
166 |
167 |
168 |
173 |
174 |
175 |
176 | ---
177 |
178 | ## 📊 Machine Learning and Data Science
179 |
180 |
181 | 🧠 Deep Learning for Beginners with Python
182 |
183 | > **🎯 Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More**
184 |
185 | **Complete Neural Network Mastery:**
186 | - 🔗 **Artificial Neural Networks (ANN):** Build from mathematical foundations
187 | - 👁️ **Convolutional Neural Networks (CNN):** Image processing and computer vision
188 | - 🔄 **Recurrent Neural Networks (RNN):** Sequential data and time series analysis
189 | - 📝 **LSTM Networks:** Advanced sequence modeling and memory networks
190 | - 🔄 **Transfer Learning:** Leverage pre-trained models for custom applications
191 |
192 |
193 |
194 | **Technologies:** Python • TensorFlow • Keras • Neural Network Architectures • Computer Vision
195 |
196 |
197 |
198 |
203 |
204 |
205 |
206 |
207 | 🚀 Advanced Machine Learning and Deep Learning Projects
208 |
209 | > **🎯 Build advanced projects using transformer models like BERT, GPT-2, and XLNet**
210 |
211 | **Cutting-Edge Project Portfolio:**
212 | - 🤖 **BERT Implementation:** Natural language understanding and classification
213 | - 💭 **GPT-2 Applications:** Text generation and completion systems
214 | - ⚡ **XLNet Techniques:** Bidirectional language modeling
215 | - 🎯 **Multi-modal AI:** Combine text, image, and audio processing
216 | - 🔧 **Custom Architectures:** Design and implement specialized models
217 |
218 |
219 |
220 | **Technologies:** BERT • GPT-2 • XLNet • Advanced Transformers • Multi-modal AI
221 |
222 |
223 |
224 |
229 |
230 |
231 |
232 |
233 | 📈 Python for Linear Regression in Machine Learning
234 |
235 | > **🎯 Master statistical foundations and practical implementation of regression analysis**
236 |
237 | **Statistical Mastery:**
238 | - 📊 **Regression Theory:** Mathematical foundations and statistical principles
239 | - 📈 **Hypothesis Testing:** Statistical validation and significance testing
240 | - 🔢 **Feature Engineering:** Variable selection and transformation techniques
241 | - 🎯 **Model Evaluation:** R-squared, RMSE, and comprehensive diagnostics
242 | - 💼 **Business Applications:** Real-world predictive modeling scenarios
243 |
244 |
245 |
246 | **Technologies:** Python • Scikit-Learn • Statistical Analysis • Pandas • NumPy
247 |
248 |
249 |
250 |
255 |
256 |
257 |
258 |
259 | 🎯 Machine Learning & Data Science for Beginners in Python
260 |
261 | > **🎯 Complete foundation in ML and DL using Python, Scikit-Learn, Keras, and TensorFlow**
262 |
263 | **Complete Foundation:**
264 | - 🐍 **Python for Data Science:** From basics to advanced data manipulation
265 | - 📊 **Data Analysis Mastery:** Pandas, NumPy, and exploratory data analysis
266 | - 🤖 **Machine Learning:** Supervised and unsupervised learning algorithms
267 | - 🧠 **Deep Learning Introduction:** Neural networks with Keras and TensorFlow
268 | - 📈 **Data Visualization:** Professional charts and insights presentation
269 |
270 |
271 |
272 | **Technologies:** Python • Scikit-Learn • Pandas • NumPy • Matplotlib • TensorFlow
273 |
274 |
275 |
276 |
281 |
282 |
283 |
284 |
285 | 💬 Natural Language Processing in Python for Beginners
286 |
287 | > **🎯 Build NLP models using Python with Spacy, NLTK, and modern NLP techniques**
288 |
289 | **NLP Expertise:**
290 | - 🔤 **Text Processing:** Spacy and NLTK for production-ready NLP
291 | - 📊 **Sentiment Analysis:** Emotion detection and opinion mining
292 | - 🏷️ **Named Entity Recognition:** Extract people, places, organizations
293 | - 🔍 **Text Classification:** Document categorization and content analysis
294 | - 🎯 **Feature Engineering:** TF-IDF, word embeddings, and advanced features
295 |
296 |
297 |
298 | **Technologies:** Python • Spacy • NLTK • NLP Pipelines • Text Analytics
299 |
300 |
301 |
302 |
307 |
308 |
309 |
310 | ---
311 |
312 | ## 🚀 Production and Deployment
313 |
314 |
315 | 🌐 Deploy ML Model in Production with FastAPI and Docker
316 |
317 | > **🎯 Professional deployment strategies using FastAPI, Docker, and modern DevOps practices**
318 |
319 | **Production Deployment Mastery:**
320 | - 🌐 **FastAPI Development:** High-performance API creation for ML models
321 | - 🐳 **Docker Containerization:** Scalable and portable deployment solutions
322 | - ☁️ **Cloud Deployment:** AWS, GCP, and Azure deployment strategies
323 | - 🔒 **Security & Monitoring:** Authentication, logging, and performance monitoring
324 | - ⚡ **DevOps Integration:** CI/CD pipelines and automated deployment
325 |
326 |
327 |
328 | **Technologies:** FastAPI • Docker • Cloud Platforms • DevOps • Production Security
329 |
330 |
331 |
332 |
337 |
338 |
339 |
340 |
341 | 📊 Data Visualization in Python Masterclass for Beginners
342 |
343 | > **🎯 Professional visualization and dashboard development using modern Python libraries**
344 |
345 | **Visualization Excellence:**
346 | - 📈 **Matplotlib Mastery:** Static plots with professional customizations
347 | - 🎨 **Seaborn Styling:** Statistical visualizations and advanced aesthetics
348 | - ⚡ **Plotly Interactive:** Dynamic charts and real-time dashboards
349 | - 📊 **Dashboard Development:** Streamlit and Dash applications
350 | - 💼 **Business Intelligence:** Professional reporting and data storytelling
351 |
352 |
353 |
354 | **Technologies:** Matplotlib • Seaborn • Plotly • Streamlit • Dash • Business Analytics
355 |
356 |
357 |
358 |
363 |
364 |
365 |
366 | ---
367 |
368 | ## 🛠️ Technologies & Frameworks Covered
369 |
370 |
371 |
372 | ### **🔧 Complete Technology Stack**
373 |
374 | [](https://www.udemy.com/course/python-for-machine-learning-and-data-science-projects/?referralCode=C2A381E2EC08C84FFBFE)
375 | [](https://www.udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327)
376 | [](https://www.udemy.com/course/python-for-deep-learning-and-artificial-intelligence/?referralCode=657DFC7FE7AF949837DA)
377 | [](https://www.udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E)
378 | [](https://www.udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD)
379 |
380 |
381 |
382 | ### **🎯 Specialized Technologies**
383 |
384 |
385 |
386 | |
387 |
388 | **🤖 AI & LLM**
389 | - OpenAI Agent Builder
390 | - LangChain
391 | - LangGraph
392 | - Ollama
393 | - Hugging Face Transformers
394 | - OpenAI API
395 | - Claude API
396 |
397 | |
398 |
399 |
400 | **📊 ML & Data Science**
401 | - Scikit-Learn
402 | - TensorFlow & Keras
403 | - PyTorch
404 | - Pandas & NumPy
405 | - Matplotlib & Seaborn
406 | - Plotly
407 |
408 | |
409 |
410 |
411 | **🚀 Deployment & Production**
412 | - FastAPI
413 | - Streamlit
414 | - Docker
415 | - AWS EC2
416 | - AWS Lambda
417 | - API Gateway
418 | - Vector Databases (FAISS, ChromaDB)
419 | - MySQL Integration
420 |
421 | |
422 |
423 |
424 |
425 | ---
426 |
427 | ## 🎯 Learning Path Recommendations
428 |
429 | ### 🤖 **AI/LLM Developer Path**
430 | ```
431 | Master OpenAI Agent Builder - Low-Code AI Projects Workflow
432 | ↓
433 | Master Langchain and Ollama - Chatbot, RAG and Agents
434 | ↓
435 | Master LangGraph and LangChain with Ollama
436 | ↓
437 | Agentic RAG with LangChain and LangGraph - Ollama
438 | ↓
439 | MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
440 | ↓
441 | Fine Tuning LLM with Hugging Face Transformers for NLP
442 | ```
443 |
444 | ### 📊 **Data Scientist Path**
445 | ```
446 | Python for Linear Regression in Machine Learning
447 | ↓
448 | Machine Learning & Data Science for Beginners in Python
449 | ↓
450 | Natural Language Processing in Python for Beginners
451 | ↓
452 | Deep Learning for Beginners with Python
453 | ↓
454 | Advanced Machine Learning and Deep Learning Projects
455 | ```
456 |
457 | ### 🚀 **Production Engineer Path**
458 | ```
459 | Machine Learning & Data Science for Beginners in Python
460 | ↓
461 | Deep Learning for Beginners with Python
462 | ↓
463 | Data Visualization in Python Masterclass for Beginners
464 | ↓
465 | Deploy ML Model in Production with FastAPI and Docker
466 | ```
467 |
468 | ### 🎓 **Complete Mastery Path**
469 | ```
470 | Machine Learning & Data Science for Beginners in Python
471 | ↓
472 | Deep Learning for Beginners with Python
473 | ↓
474 | Natural Language Processing in Python for Beginners
475 | ↓
476 | Master OpenAI Agent Builder - Low-Code AI Projects Workflow
477 | ↓
478 | Master Langchain and Ollama - Chatbot, RAG and Agents
479 | ↓
480 | Master LangGraph and LangChain with Ollama
481 | ↓
482 | Agentic RAG with LangChain and LangGraph - Ollama
483 | ↓
484 | MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
485 | ↓
486 | Advanced Machine Learning and Deep Learning Projects
487 | ↓
488 | Data Visualization in Python Masterclass for Beginners
489 | ↓
490 | Deploy ML Model in Production with FastAPI and Docker
491 | ↓
492 | Fine Tuning LLM with Hugging Face Transformers for NLP
493 | ```
494 |
495 | ---
496 |
497 | ## 🏆 What Students Say
498 |
499 |
500 |
501 | ### **💬 Student Success Stories**
502 |
503 |
504 |
505 | > **"The MCP course is absolutely game-changing! I went from zero knowledge to building production-ready AI applications in just a week."**
506 |
507 | > **"Best LangChain course on the internet. Practical, up-to-date, and the projects are industry-relevant."**
508 |
509 | > **"Finally understood how to deploy ML models properly. The FastAPI + Docker approach saved my company thousands."**
510 |
511 | ---
512 |
513 | ## 📊 Course Statistics
514 |
515 |
516 |
517 | | 📈 **Metric** | 🎯 **Achievement** |
518 | |---------------|-------------------|
519 | | **Total Students** | 100,000+ Active Learners |
520 | | **Course Rating** | ⭐⭐⭐⭐⭐ (4.8/5.0) |
521 | | **Courses Available** | 11+ Comprehensive Programs |
522 | | **Hours of Content** | 100+ Hours of Learning |
523 | | **Projects Included** | 50+ Hands-on Projects |
524 | | **Technologies Covered** | 30+ Modern Frameworks |
525 |
526 |
527 |
528 | ---
529 |
530 |
531 |
532 | ## 🌐 Connect with Me
533 |
534 | [](https://kgptalkie.com)
535 | [](https://www.youtube.com/kgptalkie)
536 | [](https://linkedin.com/in/laxmimerit)
537 | [](https://twitter.com/laxmimerit)
538 | [](https://www.udemy.com/user/laxmi-kant-tiwari/)
539 | [](https://github.com/laxmimerit)
540 |
541 | **⭐ If this helped you, please give it a star! ⭐**
542 |
543 |
544 |
--------------------------------------------------------------------------------
/data/weather_data.csv:
--------------------------------------------------------------------------------
1 | lat,lon,temp
2 | 37.736234635638205,-122.41446453320438,38.7983110498837
3 | 37.77513434979088,-122.3643949735404,-37.76228233120321
4 | 37.74533225027401,-122.37048951747862,-185.49275880049223
5 | 37.788106487752685,-122.39433577191708,-49.949184690477814
6 | 37.75357743726398,-122.4036071199374,-58.764177313684854
7 | 37.72568464945334,-122.448545139509,-165.03987709315484
8 | 37.745498574979884,-122.38166744185084,-26.940728592979525
9 | 37.735860034521316,-122.44087288367437,95.41515374732245
10 | 37.78639050123653,-122.4254116060925,-140.59816114118436
11 | 37.764259623184515,-122.38853989010556,65.79795179072909
12 | 37.72338724546049,-122.36835329449686,80.08347559982724
13 | 37.76160215049814,-122.37900101663747,82.26274531063554
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60 | 37.796077291882376,-122.40139837695638,181.45554734131503
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64 | 37.74634681110265,-122.43336203151166,-83.41918918815733
65 | 37.77708480932351,-122.37597764826565,-81.06333080972344
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1002 |
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