/ml-project-1

Primary LanguageJupyter Notebook

Higgs Boson Challenge EPFL CS-433

You can download the challenge data following the instructions in AiCrowd

Data:

Create a data folder and place the test.csv and train.csv files following this projce folde structure :

root ── main 
      ├─ data ─── test.csv
      │       ├─ train.csv
      │

Utils:

Please checkout data_utils.py and train_utils.py for all the helper functions that were involved in data processing and training.

Implementations:

Please checkout implementations.py for the implementation of the cost functions that were used in this project

Training & Prediciton

Run run.py to generate the predictions using ridge regression with fine tuned hyper parameters.

Requirements

  • Python >= 3.8
  • numpy