/EPFL_ML_Project1

First project of the EPFL Machine Learning course, which aims to solve the Higgs Boson classification problem using various regression techniques. (2018-2019)

Primary LanguagePythonMIT LicenseMIT

EPFL_ML_project1

Higgs Boson Classification Using Regression Techniques

The first project of the EPFL Machine Learning course, which aims to solve the Higgs Boson classification problem (https://www.kaggle.com/c/higgs-boson) using regression techniques. The given report explains our machine learning procedure in detail and the python code in the Scripts folder is well documented.

Results on Kaggle

  • Kaggle competition link: https://www.kaggle.com/c/epfml18-higgs (data sets can be found here)

  • Group name: THREE COMMA CLUB

  • Public leaderboard

    • 83.639% of correct predictions.

  • Private leaderboard

    • 83.511% of correct predictions.

Folders and Files

  • Scripts: contains python code that established our machine learning procedure
  • report.pdf: project report explaining our machine learning procedure in .pdf format
  • project1_description.pdf: assignment description given by EPFL

Contact us

Please don't hesitate to contact the authors about any questions about the project or machine learning in general:

License and Copyright

Licensed under the MIT License

© 2018 Efe Acer