/Unsupervised-Learning

My report for the class given by the visited lecturer René Vidal at the ENS

Primary LanguageJupyter Notebook

Unsupervised-Learning

Homeworks of the Unsupervised-learning class from ENS Paris-Saclay

Subjects

  • Projet 1/project1-cachan17.pdf
  • Projet 2/project2-cachan17.pdf

Getting Started

  • clone the repository on your computer
  • open an Anaconda command prompt
  • browse to the working directory:
cd path/to/your/directory/Projet 1/
  • launch the jupyter notebook:
jupyter notebook UN_LEARNING_BUSA.ipynb
  • run each cells using shift + enter

Code organisation

  • Project 1: (done with Rémi LESPINET)
    • run preprocess_data.ipynb to preprocess the data (build data horror_mat.npy, horror_romance_mat.npy, romance_mat.npy)
    • run UN_LEARNING_BUSA.ipynb
  • Project 2: (done with Steeve VU and Rémi LESPINET)
    • run TP2_BUSA_Victor.ipynb

Explanations

The final reports are under the folder "report".