File description:
- helpers.py is the file provided for us
- Data Prepocessing.ipynb is the code to preprocess the raw data
- basic_funtions includes codes contributing to logistic regression
- logistic_regression is our applied method
- _sub.csv is the predictions we used to get our best score (0.388 f1 score and 0.863 accuracy)
- notebook.ipynb is a notebook we used to train, test and tune all parameters, and test different strategies
- implementations.py includes all applied functions
- run.py is the script that generates our best attempt file
- Report.pdf is our final report file.