Predicts sales prices and practices resource engineering, RFs and gradient enhancement with the Kaggle House Prices dataset.
Prerequisites | Getting started | How to contribute | License
- Clone this repo
- Enter the folder
advanced-regression-techniques-kaggle
- Run
pip install -r requirements.txt
to install the dependencies - Run
jupyter notebook
to start the local jupyter environment - Access
http://localhost:8888/
- Make a fork;
- Create a branck with your feature:
git checkout -b my-feature
; - Commit changes:
git commit -m 'feat: My new feature'
; - Make a push to your branch:
git push origin my-feature
.
After merging your receipt request to done, you can delete a branch from yours.
This project is under the MIT license. See the LICENSE for more information.
Made with by Roberto Sousa ๐ Get in touch!