Textbook: https://learningds.org/intro.html
Main Concepts & Notes
Prep Roadmap
1. High Level ML Concepts: DSC 80 / Data 100 Notes
- Cleaning
- Missingness Mechanisms
- Feature Engineering
- Pipelines
- Cross Validation
- Bias & Variance
- Model Eval & Fairness
2. Classification Algorithms: CSE 151A / CS 189 Notes
- Decision Trees
- Random Forests
- Logistic Regression
- Neural Networks
3. Implementing End to End Pipelines (Combine 1 & 2)





