Introductory Machine Learning and Deep Learning lectures with hands-on practice, delivered as part of the Big Data Certificate for voluntary students from several engineering schools in Toulouse.

Machine Learning

• Core supervised models - linear/logistic regression, SVM, trees, ensembles
• Unsupervised techniques - clustering, dimensionality reduction
• Model evaluation, validation, metrics

Deep Learning

• Fully Connected Neural networks
• Backpropagation principles
• Convolutional Neural Networks

Hackathon

• Team-based applied ML/DL project
• End-to-end pipeline design and experimentation
• Presentation of results and model insights