Machine Learning Course tought at the MNHN

Muséum National d'Histoire Naturelle (4 full day course including half day lectures, half day practicals)

The course now has videos of the 2021 session in French:

Youtube Playlist

Read the slides first:

Classification
Regression
Dimensionality Reduction and DBSCAN

then go on to the ipython notebooks

1 - Basic Python for Machine Learning - Pandas - Classification
2 - The regression Problem - PCA and training a Regressor
3 - Text Mining - Classification
4 - Unsupervised Learning - Clustering the nocturnal spring weather of France

Contents:

The course features a basic introduction to python so that the students can perform machine learning tasks with it. Further the basic usage of scikit-learn and how to validate trained classifiers and regressors is tought as well as a short introduction into unsupervised learning