Kaggle Competition using 15 numerical predictors to predict a continuous outcome as part of a final project using R (and some python) for a statistics 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