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​Introduction to Machine Learning with Python


Anyone willing to acquire basic Machine Learning skills


The objective of the training is to provide tools to build predictive models from a data set.

The focus of the training is on:

* Providing ready to use tools

* The Machine Learning process, from data preparation to model validation


3 days: from 29th to 31st January 2020,  9 AM - 5 PM.


Full price: 500 €

Reduced price (Paul Lambin Graduated students): 250 €

Lunches and coffee breaks are included.

Training content:

1. Introduction to machine learning

2. Python for data sciences and machine learning

· Python 101 (data types, control structures)

· NumPy, Pandas and SkiKit-learn libraries

· Data manipulation with Python et Pandas

3. Supervised learning with SciKit-learn

· Regression vs. classification

· Data preparation and analysis

· Classic algorithms (regression, k-nearest neighbors, decision trees, Bayesian classifiers, kernel machine, neural network)

· Model validation and performance measure

· Model optimization

4. Unsupervised learning with Scikit-learn

· Data preparation and scaling

· Dimensionality reduction

· Rule inference and feature extraction

· Unsupervised clustering


* Some programming experience.

* Basic knowledge of descriptive statistics.

* This course will be taught in English.

A prior Python experience is not required.

Information : Cyrielle Thibaut

Type Court