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Welcome to DS325 Applied Data Science

Setting Up and Resources

Setting Up
Pandas Refresher

Regression

1. What is a model?
2. Linear Regression (Part 1)
- 2.3. Example: Simple Linear Regression with the King County Housing Dataset
- 2.4. Example: Multiple Linear Regression Estimating Fuel Efficiency
3. Regularization
4. Polynomial Regression
- 4.3. Example: King County Housing
- 4.4. Example: West Claude University
5. Chapter 1 - The Machine Learning Landscape

Classification

7. Classification
8. Encoding
9. Trees and Ensemble methods
10. Tree Methods (continued)
11. Forests and Trees
12. PS04 - Comparing Tree Methods

Unsupervised Learning

13. Principle Component Analysis (PCA)
14. PCA: Examples and Observations
15. K-Means Clustering
16. K-Means Clustering: An Animated Walkthrough

Assignments

PS01 - Simple Linear Regression
PS02 - Regularization
PS03 - Classification

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By Eatai Roth, Gettysburg College

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