Probability, inference, tests and regression: the statistical foundations of machine learning.
This course is being prepared. Its detailed program and dates will be published soon; you can ask to be notified.
📍 Marrakech — in-person training in a training room provided by a partner school. The exact address is given for each session.
Coming soon
No session is scheduled at the moment. Leave us your details: we will notify you as soon as the dates are set.
The price is set for each session and has not been published yet. Request the next dates to find out.
Leave your details: we will tell you the next dates as soon as they are published.
Supervised and unsupervised learning, overfitting, evaluation: the key concepts.
Build and evaluate machine learning models with Python.
Pipelines, models, cross-validation and hyperparameter tuning with scikit-learn.