18 décembre 2019

Introduction to machine learning in Python with Scikit-learn @ MdlS/ICM

Introduction to machine learning with the Scikit-learn library

The rapid growth of artificial intelligence and data science has made scikit-learn one of the most popular Python libraries. The tutorial will present the main components of scikit-learn, covering aspects such as standard classifiers and regressors, cross-validation, or pipeline construction, with examples from various fields of application. Hands-on sessions will focus on medical applications, such as classification for computer-aided diagnosis or regression for the prediction of clinical scores.

Learning outcomes :

Ability to solve a real-world machine learning problem with scikit-learn

Prerequisites :

  • Basic knowledge of Python (pandas, numpy)
  • Notions of machine learning
  • No prior medical knowledge is required

Link toward the registration page

18 décembre 2019, 09h0019h00
Institut du Cerveau et de la Moelle épinière Hôpital Pitié Salpêtrière
47 Boulevard de l'Hôpital, 75013 Paris