robertosousa1 / advanced-regression-techniques-kaggle

Predicts sales prices and practices resource engineering, RFs and gradient enhancement with the Kaggle House Prices dataset.

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Advanced Regression Techniques

Predicts sales prices and practices resource engineering, RFs and gradient enhancement with the Kaggle House Prices dataset.

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Prerequisites   |    Getting started   |    How to contribute   |    License

โ˜‘๏ธ Prerequisites

๐Ÿ†™ Getting started

  • 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/

โœ๏ธ How to contribute

  • 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.

๐Ÿ“ License

This project is under the MIT license. See the LICENSE for more information.


Made with by Roberto Sousa ๐Ÿ‘‹ Get in touch!

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Predicts sales prices and practices resource engineering, RFs and gradient enhancement with the Kaggle House Prices dataset.

License:MIT License


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Language:Jupyter Notebook 100.0%