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

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

• 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)

pip install -r requirements.txt