/advanced-regression-techniques-kaggle

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

Primary LanguageJupyter NotebookMIT LicenseMIT

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

☑️ Prerequisites

🆙 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/

✏️ 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.

📝 License

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

Made with by Roberto Sousa 👋 Get in touch!