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Lectures

The first set of slides is used to introduce Machine Learning, the importance of the features and how a model is learned in order to avoid some problematic situations.
Another document can also be used in order to complete what has been studied in class.

• Introduction
• Course

Practical Sessions

The first practical session is dedicated of decision tree algorithms and ensemble methods with an application to decision. For this first practical session, we will work with simulated data.

• Notebook

Team Project

Below you will find all the elements necessary to complete your project, namely the topic and the various datasets to be used.

• Subject

• Attendance Train
• Attendance Test
• SynDelay