I - Three Labs for the ML course at Ecole Polytechnique:

• Unsupervised ML including KMeans, PCA, GMM...
• Regression including L1/L2 regression, SVR, XGBoost, MLP, Random Forest...
• Classification including LDA, QDA, Logistic Regression, MLP, SVM, Random Forest...

II- ML Project for ML course at AUB (INDE 535): Performing data preprocessing, cleaning and feature engineering and then fitting supervised learning models for car price prediction.