Kaggle-Comp.-Data-Mining

Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project for a stats data mining course. I later went back and extended work to include more models/attempts.

Machine Learning Models attempted for predictions:

• Simple Multiple Linear Regression
• Polynomial Regression
• Ridge and Lasso Regression
• Principal Component Regression
• Support Vector Classifiers and Support Vector Machines
• Deep and Prunned Regression Trees
• Bagging and Boosting
• Random Forests (Best Model for Predictions)
• Artificial Neural Networks for Regression

Kaggle Competition Link:

https://www.kaggle.com/c/ucla-stats-101c-2021-lec3-new/overview