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

GitHub

GitHub - moiseyalaev/Kaggle-Comp.-Data-Mining: Kaggle Competition using 15 numerical predictors to predict a continuous outcome.
Kaggle Competition using 15 numerical predictors to predict a continuous outcome. - GitHub - moiseyalaev/Kaggle-Comp.-Data-Mining: Kaggle Competition using 15 numerical predictors to predict a cont...