stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
- Lecture 01: Course overview, introduction to machine learning
- Lecture 02: Nearest Neighbor Methods
- Lecture 03: Python
- Lecture 04: Scientific Computing in Python
- Lecture 05: Scikit-learn
- Lecture 06: Decision Trees
- Lecture 07: Ensemble Methods
- Lecture 08: Model Evaluation 1: Overfitting and Underfitting
- Lecture 09: Model Evaluation 2: Resampling Methods and Confidence Intervals
- Lecture 10: Model Evaluation 3: Cross-Validation and Model Selection
- Lecture 11: Model Evaluation 4: Algorithm Comparison
- Lecture 12: Model Evaluation 5: Performance Metrics