File description:

• project1_description.pdf is the project description file provided to us.
• helpers.py is the file provided to us.
• grading_tests folder is used to check the overall procedure.
• Under data folder, sample_submission.csv is the prediction we used to get our best score (0.414 F1 score and 0.856 accuracy). The relative data path to run the code is under data/dataset.
• implementations.py includes all applied functions.
• run.ipynb is the notebook that generates our best attempt file.
• CS433_report.pdf is our final report file.