This repository is a collection of homework assignments and projects for my machine learning course.

Homework 1 Instructions: Find a large dataset, clean it up, and perform multi-linear regression using scikit learn and a class of my own

Homework 2 Instructions: Find a dataset with many quantitative variables and remedy overfitting using Ridge Regression

Homework 3 Instructions: Use a grid search to find optimal parameters for Ridge Regression or Lasso Regression. Use a grid search to find optimal parameters for a Support Vector Classifier and produce a Confusion Matrix

Homework 4 Instructions: Create a Support Vector Classifier using Radial Basis Functions for a kernel. Use a grid search to find optimal parameters. Create a Confusion Matrix for the SVC.

Homework 7 Instructions: Do something interesting with clustering. I took country data on economic and health-related issues and clustered them using KMeans clustering. I've included a color-coded map that highlights the clusters.