/02450-Introduction-To-ML-DM

This repository contains the course's project and notes for the final exam.

Primary LanguageJupyter NotebookMIT LicenseMIT

02450-Introduction-To-ML-DM

This repository contains the course's project and notes for the final exam.

Structure

.
├── analysis.ipynb
├── data
│   ├── SAheart.csv
│   └── SAheart.md
├── figures
├── LICENSE
└── README.md

TODOs

  • The code I put on analysis is still on experimental stage. I gathered some scripts I already have.
  • We have to work on the interpretation of the PCAs and check it furtherly.
  • Add the p-value distribution statistics in the overleaf.
  • Plot projections on 3D and 2D.
  • Add the skewness on the dataset before the analysis.
  • Normalize score of atype (0 - 1)

Requirements

pip install -r requirements.txt