Skip to content

Latest commit

 

History

History
12 lines (9 loc) · 414 Bytes

README.md

File metadata and controls

12 lines (9 loc) · 414 Bytes

Data Science M2 Machine Learning TP

Codes of two practice sessions from the Machine Learning Class of Data Science Master, second year.

Description

Walkthrough of different methods including :

  • Feature engineering and variable selection, with ACP
  • Clustering with kmeans, Agglomerative Clustering
  • Classification with Decision trees, KNN, MLP
  • Hyperparameter tuning

Datasets are in the data.zip folder.