'Hello World' for Machine Learning - Anas Temouden

1 Intro in AI , ML , DL
2 Types of ML algorithms( Supervised, Unsupervised, Reinforcement)
3 Training an ML model :
1 the dataset ( Training and testing )
2 the model (explanation of the concept of some ML algorithms + sklearn cheatsheet)
3 The Error Fonction
.4 The Optimizer ( Explanation of the Gradient Descent Algorithm)
4. Application in Kaggle : Predicting the Survival of Titanic Passengers
5. Questions + What next ??