├── GCT PRESENTATION.pptx ├── gct project report.pdf ├── LICENSE └── README.md /GCT PRESENTATION.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FarhaKousar1601/Online-Shopping-Sentiment-Analysis---Flipkart/main/GCT PRESENTATION.pptx -------------------------------------------------------------------------------- /gct project report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FarhaKousar1601/Online-Shopping-Sentiment-Analysis---Flipkart/main/gct project report.pdf -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Farha Kousar 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Global Core Tech Internship - Data Science with Python 2 | 3 | Welcome to the Global Core Tech Internship on Data Science with Python! This four-week program, from October 26th to November 24th, equips you with essential skills in data science using Python, focusing on libraries such as NumPy, Pandas, Matplotlib, and exploratory data analysis (EDA). 4 | 5 | ## Table of Contents 6 | 7 | - Prerequisites 8 | - Python 3.7 Installation 9 | - Setting up the Environment 10 | - Getting Started 11 | - Verifying Python Installation 12 | - Installing Libraries 13 | - Exploratory Data Analysis (EDA) 14 | - Projects 15 | 16 | ## Prerequisites 17 | 18 | ### Python 3.7 Installation 19 | 20 | 1. Download Python 3.7 from [python.org](https://www.python.org/downloads/release/python-370/). 21 | 2. Run the Windows x86-64 executable installer. 22 | 3. During installation, ensure to: 23 | - Add Python 3.7 to your system PATH. 24 | - Select "Install launcher for all users" and "Add Python 3.7 to PATH." 25 | 4. Complete the installation process and verify Python 3.7 installation by running: 26 | ```bash 27 | python --version 28 | ``` 29 | 30 | ### Setting up the Environment 31 | 32 | 1. Open a command prompt and execute: 33 | ```bash 34 | set PATH=%PATH%;C:\Program Files\Python3 35 | ``` 36 | 2. Edit system variables, adding `C:\Program Files\Python3` to the PATH variable. 37 | 3. Verify the Python version: 38 | ```bash 39 | python --version 40 | ``` 41 | 42 | ## Getting Started 43 | 44 | ### Verifying Python Installation 45 | 46 | Ensure Python 3.7 is installed: 47 | ```bash 48 | python --version 49 | ``` 50 | 51 | ### Installing Libraries 52 | 53 | Install required libraries using pip: 54 | ```bash 55 | pip install numpy pandas matplotlib seaborn plotly 56 | ``` 57 | 58 | After installation, close the command prompt. 59 | 60 | ### Verifying Library Installation 61 | 62 | Verify libraries by running commands in Python IDLE for Python 3.7.0: 63 | ```python 64 | import pip 65 | import numpy 66 | import pandas 67 | import matplotlib 68 | import seaborn 69 | import plotly 70 | ``` 71 | 72 | ## Exploratory Data Analysis (EDA) 73 | 74 | Explore and analyze data using installed libraries. During this internship, work on data science projects in Jupyter Notebook using Python 3.7.0. One project is the **Online Shopping Sentiment Analysis Project: Flipkart**. 75 | 76 | ### Online Shopping Sentiment Analysis Project: Flipkart 77 | 78 | **Project Description:** 79 | Analyze sentiment in online shopping reviews on Flipkart. Classify reviews into positive, negative, or neutral sentiments, providing valuable insights for consumers and businesses. 80 | 81 | **Project Goals:** 82 | 1. Collect and preprocess data from Flipkart reviews. 83 | 2. Perform text analysis and sentiment classification. 84 | 3. Create visualizations to present findings effectively. 85 | 4. Draw conclusions and make recommendations based on sentiment analysis results. 86 | 87 | This project allows you to apply knowledge gained during the internship to a real-world data science scenario, showcasing your abilities as a data scientist. 88 | --------------------------------------------------------------------------------