Week 1 Overview
Introduction to ML competitions
Week 2 Tips
Becoming more fluent
Week 3 Overview
Getting stronger
Homeworks
Check this part regularly to avoid being late on your homework.
Lecture Slides
See Syllabus for more information.
- Lecture 1: Introduction to ML competitions-
- Lecture 2: Metrics
- Lecture 3 Part One: EDA + Feature Selection
- Lecture 3 Part two: A blending model
- Lecture 4: Validation
- Lecture 5: Hyperparameters tuning
- Lecture 6: Model stacking
- Lecture 7: Time Series Course on Kaggle
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