Introduction to machine learning

Material

• Lecture notes (September 17 2024)

Practicals

• Functions for practical sessions

• Practical 1

• Practical 2, the SVM GUI and the polynomial kernel in action

• Practical 3

• Practical 4 (supplementary)

• Practical 5 (supplementary)

• Practical 6 (supplementary)

• Practical 7 (supplementary)

Exam

1. Exam without documents (Friday, November 8): 14 points.

2. Data challenge (deadline Sunday, November 10): 6 points.

Instructions for the data challenge

You should join the Prédiction de prix de l’électricité challenge (and select the course SU - IAA 2024), which ends on Sunday, November 10, and fill out this form before Sunday, September 22.

Part of your final mark will be:

1. your intermediate (October 20) and final (November 10) rankings (at least one submission is mandatory);

2. your notebook making it possible to preprocess the data, train your final model et generate the predictions;

3. your 2-page pdf-LaTeX report describing:

• the data preprocessing;

• the model selection phase;

• your final model along with its public and private scores;

• the impediments you faced and your achievements.

Your notebook and your report have to be uploaded on this remote repository by Sunday, November 10.