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ML101

Introduction to Machine Learning tutorial

16 April 2019: Exploratory Data Analysis (EDA)
13 June 2019: Classification

In order for the notebooks to work you will need to make sure to have installed:

matplotlib
numpy
pandas
seaborn

slides
Notebook 1 - Exploratory Data Analysis (EDA)
Notebook 2 - Classification
Notebook 3 - Regression
Notebook 4 - Regression II

Theory material

Text book: Understanding Machine Learning - from theory to algorithms

7 Nov 2019: Random Forest presentation by Bogdan Vulpescu - slides

31 March 2020: Introduction to Neural Networks by Julien Donini - slides

31 March 2020: Pion rejection with the Transition Radiation Detector of ALICE by Bogdan Vulpescu - slides