CS 307 Notes
Modeling and Learning in Data Science
This website contains course notes for CS 307, Modeling and Learning in Data Science, at the University of Illinois Urbana-Champaign.
Notes
- Data
- Machine Learning
- Regression Introduction
- Data Splitting
- Classification Introduction
- Preprocessing
- Generalization
- Cross-Validation
- Regression Trees
- Classification Trees
- Binary Classification
- Logistic Regression
- Linear Regression
- Regularization
- Ensembles
- Classifier Calibration
- Quantile Regression
- Generative Models
- Unsupervised Learning
- Neural Networks