Machine learning in Python with scikit-learn

English
Beginner
1d 12h

Machine learning in Python with scikit-learn

Machine learning in Python with scikit-learn
Hosted by FUNMOOC
Provided by Inria
Taught by Arturo Amor, Loïc Estève, Olivier Grisel, Guillaume Lemaître, Gaël Varoquaux, Thomas Schmitt
Free
No fee required
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Overview

Predictive modeling is a pillar of modern data science. In this field, scikit-learn is a central tool: it is easily accessible and yet powerful, and it dovetails in a wider ecosystem of data-science tools based on the Python programming language.This course is an in-depth introduction to predictive modeling with scikit-learn. Step-by-step and didactic lessons will give you the fundamental tools and approaches of machine learning, and is as such a stepping stone to more advanced challenges in artificial intelligence, text mining, or data science.The course covers the software tools to build and evaluate predictive pipelines, as well as the related concepts and statistical intuitions. It is more than a cookbook: it will teach you to understand and be critical about each step, from choosing models to interpreting them.The training will be essentially practical, focusing on examples of applications with code executed by the participants.The Mooc is completely free of charge. All the course materials are also available on a github repository.The authors of the course are scikit-learn core developpers, they will be your guides throughout the training!