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