This is a Kaggle House Price Prediction Competition - House Prices: Advanced Regression Techniques. The objective of the project is to perform data visulalization techniques to understand the insight of the data. Machine learning often required to getting the understanding of the data and its insights. This project aims apply various Python tools to get a visual understanding of the data and clean it to make it ready to apply machine learning opertation on it.
This is a Jupyter notebook. Package requirements are included in requirement.txt. This project uses Python 3.5.
Run the following command in terminal to install the required packages.
pip3 install -r requirements.txt
The notebook includes all the markdowns which explain the process.
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request :D
This repo is maintained by Rohan Singh Rajput(mailto: [email protected]) and Rohan Vardhan (mailto: [email protected])
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