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:

• Efe Acer: [email protected]
• Murat Topak: [email protected]
• Daniil Dmitriev: [email protected]

License and Copyright

Licensed under the MIT License

© 2018 Efe Acer