Aperçu des sections

  • Généralités

  • Exercise 1: K-means and Decision Trees

  • Exercise 2: Basics of Data processing, Random Forest, Logistic Regression, SVM

  • Exercise 3: Image Classification and Autoencoder

  • Exercise 4: Working with CNNs and Generative Models