School project for the SD210: Machine Learning course at Télécom Paris. The goal was to use different algorithms for different tasks on given data sets:
- Binary classification task on a dataset containing pixel values on a grayscale from the quickdraw dataset
- Multiclass classification task on a dataset containing laboratory values of blood donors and Hepatitis C patients
- Regression task on a dataset containing the count of public bikes rented at each hour in Seoul Bike haring System with the corresponding Weather data and Holidays information