https://github.com/rasbt/stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
https://github.com/rasbt/stat451-machine-learning-fs20

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

• Host: GitHub
• URL: https://github.com/rasbt/stat451-machine-learning-fs20
• Owner: rasbt
• Created: 2020-08-06T23:42:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-09-28T20:53:10.000Z (over 1 year ago)
• Last Synced: 2025-03-31T21:44:13.195Z (9 months ago)
• Language: Jupyter Notebook
• Size: 52.4 MB
• Stars: 417
• Watchers: 19
• Forks: 208
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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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