Tasks made for the Data Analytics subject of my MSc.
- Task 1 Data Processing: Data splitting, outliers, feature selection with percentiles, Principal Component Analysis (PCA), dataset imbalance.
- Task 2 Model Selection: Reducement of data dimensionality with Recursive Feature Elimination (RFE), model selection with Support Vector Machines (SVM), Random Forests (RF), Multilayer Perceptron (MLP), scores with f1_macro and k-fold Cross Validation (CV), and model tunning.