Videolectures are uploaded to this YouTube playlist.

Introduction, video, slides

  1. Exploratory data analysis with Pandas, video
  2. Visualization, main plots for EDA, video
  3. Decision trees: theory and practical part
  4. Logistic regression: theoretical foundations, practical part (baselines in the “Alice” competition)
  5. Emsembles and Random Forest, part 1. Classification metrics - part 2. Example of a business task, predicting a customer payment - part 3
  6. Linear regression and regularization - theory, LASSO & Ridge, LTV prediction - practice
  7. Unsupervised learning - Principal Component Analysis and Clustering