Machine Learning with scikit-learn Part 1

This tutorial aims to provide an introduction to machine learning and scikit-learn "from the ground up". We will start with core concepts of machine learning, some example uses of machine learning, and how to implement them using scikit-learn. Going in detail through the characteristics of several methods, we will discuss how to pick an algorithm for your application, how to set its hyper-parameters, and how to evaluate performance.

This is a two part tutorial. Please register for part one and part two.
Prerequisite skills: NumPy, matplotlib

Andreas  MuellerSpeaker: Andreas Mueller, Columbia University
 Speaker: Guillaume Lemaitre, INRIA Saclay - Parietal team