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Welcome to DS325 Applied Data Science

Setting Up and Resources

1. Setting Up
2. Our course GenAI Policy
3. Linear Regression Review Topics

Regression

1. What is a model?
2. Linear Regression (Part 1)
3. Linear Regression (Part 2)
4. Bias, Variance, and Regularization
5. Regularization Example: King County housing
6. Polynomial Regression

Classification

1. Classification
2. Logistic Regression
3. Trees and Ensemble methods
4. Tree Methods (continued)
6. Forests and Trees

Assignments

Github Submission Guide
PS00
PS00 (Solutions by Prof Roth)
PS01 - (Not so) Simple Linear Regression
PS02 - Regularization
Mini-Project 1 (and examples!)
PS03 - Classification

Repository
Open issue

Index

By Eatai Roth, Gettysburg College

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