Dimensionality reduction
– Principal Components Analysis (PCA)
– Singular Value Decomposition (SVD)
Decision Trees
Random Forests
Hands-on Lab:
Playing around with different values affecting the bias and the variance, calculating precision, recall, F1 and F2-scores, comparing different models on the training and testing accuracies
Doing a little bit of data preprocessing, analyzing the difference between categorical and numerical data, plotting some relevant statistical values and visually inspecting the correlation between features