Exercises

Exercises for Chapters 1-10 (LMU Lecture I2ML):

	Exercise	Solution	Python Solution
Exercise 1	ML basics	ML basics
Exercise 2	Regression	Regression	Regression
Exercise 3	Classification I	Classification I
Exercise 4	Classification II	Classification II	Classification II
Exercise 5	Evaluation I	Evaluation I	Evaluation I
Exercise 6	Evaluation II	Evaluation II	Evaluation II
Exercise 7	Evaluation III	Evaluation III	Evaluation III
Exercise 8	CART	CART	CART
Exercise 9	Random forests	Random forests	Random forests
Exercise 10	Neural networks	Neural networks
Exercise 11	Tuning	Tuning	Tuning
Exercise 12	Nested resampling	Nested resampling	Tuning

Exercises for Chapters 11-19 (LMU Lecture SL):

	Exercise	Solution
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 8
Exercise 9
Exercise 10
Exercise 11
Exercise 12
Exercise 13
Exercise 14

Live Session Exercises for Chapters 11-19 (LMU Lecture SL):

	Exercise
Session 2
Session 3
Session 4
Session 5
Session 6
Session 7
Session 8	-
Session 9
Session 10
Session 11
Session 12	-
Session 13	-

Exercises for Chapters 20-23 (LMU Lecture AdvML):

	Exercise	Solution
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7