Skip to content

Latest commit

 

History

History
15 lines (9 loc) · 473 Bytes

File metadata and controls

15 lines (9 loc) · 473 Bytes

Machine Learning in R Portfolio

This repository contains my coursework using R Studio to utilize a variety of supervised machine learning algorithims. The current contents of this repo are as follows:

Regression Modeling:

  • Data Cleaning -> Linear Regression
  • Non-Linear Regression (Polynomial & GAM)
  • LOOCV & LASSO Regression

Classification Modeling:

  • Decision Trees and Ensemble Learning (Aggregation with Bagging & Boosting)
  • K-Nearest Neighbors