├── LICENSE ├── Readme.md ├── Section 1 ├── 1. Python Data Structures and String Operations │ ├── Data Structure Dictionary.ipynb │ ├── Data Structure List,List Project and Tuple.ipynb │ ├── Data Structure Sets.ipynb │ ├── Datetime Features.ipynb │ ├── No2 dataset.csv │ ├── String Manipulation.ipynb │ └── agent_classification.csv ├── 2. Python Mastery Lambda, Recursion, and Functions │ ├── Implementing+Functions+in+Python.ipynb │ ├── Implementing+Recursion+in+Python.ipynb │ ├── KPI+for+Classification.ipynb │ ├── Lambda+Expressions.ipynb │ └── pima-indians-diabetes.data.csv ├── 3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive │ ├── Advertisement+Predictions+using+Logistic+Regression.ipynb │ ├── Automobile+(1).csv │ ├── CardioGoodFitness-1 (1).csv │ ├── CardioGoodFitness-1.csv │ ├── EDA+-+Part2.ipynb │ ├── EDA+-+Part3.ipynb │ ├── EDA+-+part1.ipynb │ ├── EDA-+Descriptive+Analysis.ipynb │ ├── Standard+Libraries+in+Python.ipynb │ ├── advertising.csv │ └── cfb13.csv └── Readme.md ├── Section 2 ├── 1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms │ ├── Churn+Prediction+Logistic+Regression.ipynb │ ├── Logistic+regression+Notebook.ipynb │ ├── churn_prediction.csv │ └── data_cleaned.csv ├── 2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec │ ├── Bag+Of+Words.ipynb │ ├── ISPA.xlsx │ ├── IndividualDetails.csv │ ├── Novel+Corona+Virus+Data+Analysis+-+India.ipynb │ ├── TF-IDF.ipynb │ ├── Word2Vec.ipynb │ └── covid_19_india.csv ├── 3. Machine Learning Text Preprocessing Cleaning and Preparing Amazon Reviews Data │ ├── Amazon+Fine+Food+Reviews+Analysis_Logistic+Regression.ipynb │ └── text_processing.ipynb ├── 4. Machine Learning Fundamentals Exploring Linear Regression - A Classical Algorithm │ └── LinearRegression.ipynb ├── 5. Machine Learning Essentials Understanding Decision Tree Classifier, Regression │ ├── Play+Tennis++Implementation+Using+Sklearn+Decision+Tree+Algorithm.ipynb │ └── Play+Tennis.csv ├── 6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask │ ├── Loan_App.py │ ├── Loan_App_Template.html │ ├── Loan_Predictor.pkl │ ├── Loan_Predictor_Model.py │ ├── requirements.txt │ └── style.css ├── 7. Machine Learning Data Analysis Exploring Loan Approval Status with Predictive │ ├── Data_Dictionary.xlsx │ └── Loan_Approval_Status.ipynb ├── 8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning │ ├── Custom_Implementation_KMeans.ipynb │ ├── Kmeans.ipynb │ └── Mall_Customers.csv └── Readme.md ├── Section 3 ├── 1. Deep Learning Foundations Exploring Neural Networks, MLP, and Backpropagation │ └── mlp.ipynb ├── 2. Deep Dive into Deep Learningln-depth Understanding of RNN and LSTM with Example │ ├── LSTM_Implementation_from_Scratch.ipynb │ └── RNN_Classification.ipynb ├── 3. Deep Learning Insights Unveiling the Intuition Behind Computer Vision and CNN │ └── CNN.ipynb ├── 4. Deep Learning Adventures Mastering Convolutional Neural Networks with Pizza │ └── CNN_on_CIFR+Project.ipynb ├── 5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN │ ├── app.py │ ├── base.html │ ├── index (1).html │ ├── main.css │ ├── requirements.txt │ └── util.py └── Readme.md ├── Section 4 ├── 1. Time Series Unveiled Exploring Characteristics and Decomposition of Time Series │ ├── Basics_of_Time_Series_Forecasting.ipynb │ └── Time_Series_AirPassengers.csv ├── 2. Time Series Mastery Best Practices in Probability, Statistics, and Forecasting │ ├── Tutorial_probability.ipynb │ ├── Tutorial_statistics.ipynb │ └── tutorial-time-series-forecasting-with-prophet.ipynb ├── 3. Time Series Analysis in Practice Exploring Medical Data for Practical Insights │ ├── DATA.csv │ └── Data_Cleaning_Insights.ipynb └── Readme.md ├── Section 5 ├── 1. Flight Fare Prediction Project-1 Predicting and Analyzing Flight Ticket Prices │ ├── Data_Train.xlsx │ ├── Project_1_Flight_Fare_Price_Prediction.ipynb │ └── Test_set.xlsx ├── 2. Deploying the Flight Fare Prediction Model with Flask Framework Making Prediction │ ├── app.py │ ├── flight_xgb.pkl │ ├── home.html │ ├── requirements.txt │ └── styles.css └── Readme.md ├── Section 6 ├── 1. Mushroom Classification Project-2 ( Exploratory Data Analysis for Insightful & Building the Benchmark Model and Evaluation ) │ ├── MushroomClassification.ipynb │ └── mushrooms.csv └── Readme.md ├── Section 7 ├── 1. Nursery School Application Classification Project-3 ( Regression Analysis, Logistic Regression, SVM, Decision Tree Models ) │ ├── Project_3_Nursery_School_System.ipynb │ └── nursery_data.csv └── Readme.md ├── Section 8 ├── 1. Toxic Comments Classification Project-4 Identifying and Analyzing Toxic │ └── Project_4_Toxic_Comments_Classification_EDA.ipynb ├── 2. NLP Visualization Exploring Tokenized Sequences for Insightful Analysis │ └── Project_4_Toxic_Comments_Classification.ipynb └── Readme.md └── Section 9 ├── 1. UK Road Accident Timeseries Analysis Exploratory Data Analysis for Forecasting └── UK_road_accident_analytics.ipynb ├── 2. Forecasting I-JK Accident Rates SARIMA, FbProphet, and LSTM Models for Accurate ├── UK_Road_Accident_Timeseries_Forecasting.ipynb └── ukTrafficAADF.csv └── Readme.md /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/LICENSE -------------------------------------------------------------------------------- /Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Readme.md -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/Data Structure Dictionary.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/Data Structure Dictionary.ipynb -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/Data Structure List,List Project and Tuple.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/Data Structure List,List Project and Tuple.ipynb -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/Data Structure Sets.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/Data Structure Sets.ipynb -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/Datetime Features.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/Datetime Features.ipynb -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/No2 dataset.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/No2 dataset.csv -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/String Manipulation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/String Manipulation.ipynb -------------------------------------------------------------------------------- /Section 1/1. Python Data Structures and String Operations/agent_classification.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/1. Python Data Structures and String Operations/agent_classification.csv -------------------------------------------------------------------------------- /Section 1/2. Python Mastery Lambda, Recursion, and Functions/Implementing+Functions+in+Python.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/2. Python Mastery Lambda, Recursion, and Functions/Implementing+Functions+in+Python.ipynb -------------------------------------------------------------------------------- /Section 1/2. Python Mastery Lambda, Recursion, and Functions/Implementing+Recursion+in+Python.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/2. Python Mastery Lambda, Recursion, and Functions/Implementing+Recursion+in+Python.ipynb -------------------------------------------------------------------------------- /Section 1/2. Python Mastery Lambda, Recursion, and Functions/KPI+for+Classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/2. Python Mastery Lambda, Recursion, and Functions/KPI+for+Classification.ipynb -------------------------------------------------------------------------------- /Section 1/2. Python Mastery Lambda, Recursion, and Functions/Lambda+Expressions.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/2. Python Mastery Lambda, Recursion, and Functions/Lambda+Expressions.ipynb -------------------------------------------------------------------------------- /Section 1/2. Python Mastery Lambda, Recursion, and Functions/pima-indians-diabetes.data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/2. Python Mastery Lambda, Recursion, and Functions/pima-indians-diabetes.data.csv -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Advertisement+Predictions+using+Logistic+Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Advertisement+Predictions+using+Logistic+Regression.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Automobile+(1).csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Automobile+(1).csv -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/CardioGoodFitness-1 (1).csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/CardioGoodFitness-1 (1).csv -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/CardioGoodFitness-1.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/CardioGoodFitness-1.csv -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+Part2.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+Part2.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+Part3.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+Part3.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+part1.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA+-+part1.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA-+Descriptive+Analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/EDA-+Descriptive+Analysis.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Standard+Libraries+in+Python.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/Standard+Libraries+in+Python.ipynb -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/advertising.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/advertising.csv -------------------------------------------------------------------------------- /Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/cfb13.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/3. Python for Data Analysis Libraries, Exploratory Data Analysis, and Descriptive/cfb13.csv -------------------------------------------------------------------------------- /Section 1/Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 1/Readme.md -------------------------------------------------------------------------------- /Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/Churn+Prediction+Logistic+Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/Churn+Prediction+Logistic+Regression.ipynb -------------------------------------------------------------------------------- /Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/Logistic+regression+Notebook.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/Logistic+regression+Notebook.ipynb -------------------------------------------------------------------------------- /Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/churn_prediction.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/churn_prediction.csv -------------------------------------------------------------------------------- /Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/data_cleaned.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/1. Machine Learning Primer Exploring Logistic Regression - A Classical Algorithms/data_cleaned.csv -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Bag+Of+Words.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Bag+Of+Words.ipynb -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/ISPA.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/ISPA.xlsx -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/IndividualDetails.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/IndividualDetails.csv -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Novel+Corona+Virus+Data+Analysis+-+India.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Novel+Corona+Virus+Data+Analysis+-+India.ipynb -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/TF-IDF.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/TF-IDF.ipynb -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Word2Vec.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/Word2Vec.ipynb -------------------------------------------------------------------------------- /Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/covid_19_india.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/2. Machine Learning Insights Word Embedding Techniques - Bow, TF-IDF, Word2Vec/covid_19_india.csv -------------------------------------------------------------------------------- /Section 2/3. Machine Learning Text Preprocessing Cleaning and Preparing Amazon Reviews Data/Amazon+Fine+Food+Reviews+Analysis_Logistic+Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/3. Machine Learning Text Preprocessing Cleaning and Preparing Amazon Reviews Data/Amazon+Fine+Food+Reviews+Analysis_Logistic+Regression.ipynb -------------------------------------------------------------------------------- /Section 2/3. Machine Learning Text Preprocessing Cleaning and Preparing Amazon Reviews Data/text_processing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/3. Machine Learning Text Preprocessing Cleaning and Preparing Amazon Reviews Data/text_processing.ipynb -------------------------------------------------------------------------------- /Section 2/4. Machine Learning Fundamentals Exploring Linear Regression - A Classical Algorithm/LinearRegression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/4. Machine Learning Fundamentals Exploring Linear Regression - A Classical Algorithm/LinearRegression.ipynb -------------------------------------------------------------------------------- /Section 2/5. Machine Learning Essentials Understanding Decision Tree Classifier, Regression/Play+Tennis++Implementation+Using+Sklearn+Decision+Tree+Algorithm.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/5. Machine Learning Essentials Understanding Decision Tree Classifier, Regression/Play+Tennis++Implementation+Using+Sklearn+Decision+Tree+Algorithm.ipynb -------------------------------------------------------------------------------- /Section 2/5. Machine Learning Essentials Understanding Decision Tree Classifier, Regression/Play+Tennis.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/5. Machine Learning Essentials Understanding Decision Tree Classifier, Regression/Play+Tennis.csv -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_App.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_App.py -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_App_Template.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_App_Template.html -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_Predictor.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_Predictor.pkl -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_Predictor_Model.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/Loan_Predictor_Model.py -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/requirements.txt -------------------------------------------------------------------------------- /Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/style.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/6. Machine Learning Insights Geometric Intuition of Ensemble Models and Flask/style.css -------------------------------------------------------------------------------- /Section 2/7. Machine Learning Data Analysis Exploring Loan Approval Status with Predictive/Data_Dictionary.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/7. Machine Learning Data Analysis Exploring Loan Approval Status with Predictive/Data_Dictionary.xlsx -------------------------------------------------------------------------------- /Section 2/7. Machine Learning Data Analysis Exploring Loan Approval Status with Predictive/Loan_Approval_Status.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/7. Machine Learning Data Analysis Exploring Loan Approval Status with Predictive/Loan_Approval_Status.ipynb -------------------------------------------------------------------------------- /Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Custom_Implementation_KMeans.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Custom_Implementation_KMeans.ipynb -------------------------------------------------------------------------------- /Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Kmeans.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Kmeans.ipynb -------------------------------------------------------------------------------- /Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Mall_Customers.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/8. Machine Learning Unleashed Unveiling K-means lustering Techniques for Unsupervised Learning/Mall_Customers.csv -------------------------------------------------------------------------------- /Section 2/Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 2/Readme.md -------------------------------------------------------------------------------- /Section 3/1. Deep Learning Foundations Exploring Neural Networks, MLP, and Backpropagation/mlp.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/1. Deep Learning Foundations Exploring Neural Networks, MLP, and Backpropagation/mlp.ipynb -------------------------------------------------------------------------------- /Section 3/2. Deep Dive into Deep Learningln-depth Understanding of RNN and LSTM with Example/LSTM_Implementation_from_Scratch.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/2. Deep Dive into Deep Learningln-depth Understanding of RNN and LSTM with Example/LSTM_Implementation_from_Scratch.ipynb -------------------------------------------------------------------------------- /Section 3/2. Deep Dive into Deep Learningln-depth Understanding of RNN and LSTM with Example/RNN_Classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/2. Deep Dive into Deep Learningln-depth Understanding of RNN and LSTM with Example/RNN_Classification.ipynb -------------------------------------------------------------------------------- /Section 3/3. Deep Learning Insights Unveiling the Intuition Behind Computer Vision and CNN/CNN.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/3. Deep Learning Insights Unveiling the Intuition Behind Computer Vision and CNN/CNN.ipynb -------------------------------------------------------------------------------- /Section 3/4. Deep Learning Adventures Mastering Convolutional Neural Networks with Pizza/CNN_on_CIFR+Project.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/4. Deep Learning Adventures Mastering Convolutional Neural Networks with Pizza/CNN_on_CIFR+Project.ipynb -------------------------------------------------------------------------------- /Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/app.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/app.py -------------------------------------------------------------------------------- /Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/base.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/5. 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Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/main.css -------------------------------------------------------------------------------- /Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/requirements.txt -------------------------------------------------------------------------------- /Section 3/5. Deep Learning Web App Building a Wild Animal Reco nitionS tem with CNN/util.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 3/5. 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Time Series Mastery Best Practices in Probability, Statistics, and Forecasting/Tutorial_probability.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 4/2. Time Series Mastery Best Practices in Probability, Statistics, and Forecasting/Tutorial_probability.ipynb -------------------------------------------------------------------------------- /Section 4/2. Time Series Mastery Best Practices in Probability, Statistics, and Forecasting/Tutorial_statistics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 4/2. 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Time Series Analysis in Practice Exploring Medical Data for Practical Insights/DATA.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 4/3. Time Series Analysis in Practice Exploring Medical Data for Practical Insights/DATA.csv -------------------------------------------------------------------------------- /Section 4/3. Time Series Analysis in Practice Exploring Medical Data for Practical Insights/Data_Cleaning_Insights.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 4/3. 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Flight Fare Prediction Project-1 Predicting and Analyzing Flight Ticket Prices/Test_set.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 5/1. Flight Fare Prediction Project-1 Predicting and Analyzing Flight Ticket Prices/Test_set.xlsx -------------------------------------------------------------------------------- /Section 5/2. Deploying the Flight Fare Prediction Model with Flask Framework Making Prediction/app.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 5/2. Deploying the Flight Fare Prediction Model with Flask Framework Making Prediction/app.py -------------------------------------------------------------------------------- /Section 5/2. 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Mushroom Classification Project-2 ( Exploratory Data Analysis for Insightful & Building the Benchmark Model and Evaluation )/MushroomClassification.ipynb -------------------------------------------------------------------------------- /Section 6/1. Mushroom Classification Project-2 ( Exploratory Data Analysis for Insightful & Building the Benchmark Model and Evaluation )/mushrooms.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 6/1. 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Toxic Comments Classification Project-4 Identifying and Analyzing Toxic/Project_4_Toxic_Comments_Classification_EDA.ipynb -------------------------------------------------------------------------------- /Section 8/2. NLP Visualization Exploring Tokenized Sequences for Insightful Analysis/Project_4_Toxic_Comments_Classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 8/2. NLP Visualization Exploring Tokenized Sequences for Insightful Analysis/Project_4_Toxic_Comments_Classification.ipynb -------------------------------------------------------------------------------- /Section 8/Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 8/Readme.md -------------------------------------------------------------------------------- /Section 9/1. UK Road Accident Timeseries Analysis Exploratory Data Analysis for Forecasting/UK_road_accident_analytics.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 9/1. UK Road Accident Timeseries Analysis Exploratory Data Analysis for Forecasting/UK_road_accident_analytics.ipynb -------------------------------------------------------------------------------- /Section 9/2. Forecasting I-JK Accident Rates SARIMA, FbProphet, and LSTM Models for Accurate/UK_Road_Accident_Timeseries_Forecasting.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Complete-Machine-Learning-With-Real-World-Deployment/HEAD/Section 9/2. Forecasting I-JK Accident Rates SARIMA, FbProphet, and LSTM Models for Accurate/UK_Road_Accident_Timeseries_Forecasting.ipynb -------------------------------------------------------------------------------- /Section 9/2. 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