These notebooks were carried out during the Alogirthmic Machine Learning class, during my last year of engineering school at EURECOM.
I worked on these subjects in pairs with Cocogeek (Github Link : https://github.com/Cocogeek)
The notebooks are organized as follows :
- Music Recommender System : a large-scale recommender system using ALS algorithm
- House pricing prediction : predicting house prices using the ElasticNet, Lasso and Ridge algorithms (Kaggle Challenge)
- Plankton Classification : Development of a Convolutional Neural Network (CNN) to perform plankton image classification
- Anomaly Detection : Development of multiple Machine Learning models (Logistic regression,Random Forest, Scalable Bayesian Rule Lists ) to perform anomaly detection and classification