bovulpes / ml101

Introduction to Machine Learning tutorial

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 - slides

31 Mar 2020: The ALICE Transition Radiation Detector (TRD), an exercise with beam test data

Slides:

https://drive.uca.fr/lib/6e9c185e-11ac-44d9-be4f-51b955a9a5ce/file/ALICE_TRD.pdf

Notebook:

https://github.com/bovulpes/ML101/tree/master/TRD

Data:

https://box.in2p3.fr/index.php/s/qoLssQFAqdt46w3