Frequentist Machine Learning Projects

Projects for ECE 475 - Frequentist Machine Learning

This course primarily used:

1. The Elements of Statistical Learning chapters 3, 4, 7, 9, 10, & 15
2. Matrix Factorization Techniques For Recommender Systems
3. Machine Learning in Action chapter 11

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Frequentist Machine Learning consisted of seven projects, each focusing on a different machine learning model or topic.

Click on a topic to view the project description and code:
Project 1: Linear Regression
Project 2: Logistic Regression
Project 3: Cross Validation
Project 4: Gradient Boosted Trees
Project 5: Random Forest
Project 6: Non-Negative Matrix Factorization
Project 7: Market Basket Analysis