Introduction to Scikit-learn Chapter 1: Introduction Chapter 2: Classification pipeline Chapter 3: Understanding your data [3.1] Understanding your data [3.2] How many instances? [3.3] How many attributes? [3.4] How many categories? [3.5] Class distribution? Chapter 4: Understanding your features Chapter 5: Preprocessing your features Chapter 6: Classification Chapter 7: Evaluation Chapter 8: Cross-validation Chapter 9: Summary Chapter 3 Understanding your data Rough estimated time needed15 mins