# An introduction to machine learning with Scikit-Learn

- Institution: CERN
- Department: LPCC Workshops
- Speaker: Gilles Dr. LOUPPE
- Year: 2015
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3002466)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This tutorial gives an introduction to the scientific ecosystem for data analysis and machine learning in Python. After a short introduction of machine learning concepts, we will demonstrate on High Energy Physics data how a basic supervised learning analysis can be carried out using the Scikit-Learn library. Topics covered include data loading facilities and data representation, supervised learning algorithms, pipelines, model selection and evaluation, and model introspection..

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## Lectures

1. [An introduction to machine learning with Scikit-Learn](https://invisiblenetwork.ai/learn/cern/3002466/0146c44b371c), 2 h 19 min (CERN's player)