Title:
Machine Learning with scikit-learn Part 1Description:
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
Presenter(s):
Speaker: Andreas Mueller, Columbia University | |
Speaker: Guillaume Lemaitre, INRIA Saclay - Parietal team |