Not too easy. Not too difficult.
I strongly recommend this course for people planning to establish a career based on Machine Learning. This is a graduate level course of ML. This course has given me a good theoretical understanding and hands on experience with the assignments. The in class kaggle competitions were also a great fun.
The course covers all possible ML based algorithms which you hear in general and few important things which wont be heard a lot. I got to explore many python based libraries for ML and in few cases code the core alogrithms.
Hours per week:
Advice for students:
The syllabus is huge for this class. So its always good to be on track with the class syllabus. If no prior experience is their in algebra or probability, its better to work on them within first few weeks of the class.