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)