# stat451-machine-learning-fs20

**Repository Path**: simon1239/stat451-machine-learning-fs20

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- **Created**: 2025-04-23
- **Last Updated**: 2025-04-23

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# stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

- [Lecture 01](L01): Course overview, introduction to machine learning
- [Lecture 02](L02): Nearest Neighbor Methods
- [Lecture 03](L03): Python
- [Lecture 04](L04): Scientific Computing in Python
- [Lecture 05](L05): Scikit-learn
- [Lecture 06](L06): Decision Trees
- [Lecture 07](L07): Ensemble Methods
- [Lecture 08](L08): Model Evaluation 1: Overfitting and Underfitting
- [Lecture 09](L09): Model Evaluation 2: Resampling Methods and Confidence Intervals
- [Lecture 10](L10): Model Evaluation 3: Cross-Validation and Model Selection
- [Lecture 11](L11): Model Evaluation 4: Algorithm Comparison
- [Lecture 12](L12): Model Evaluation 5: Performance Metrics