Advanced Regression: LR, Ridge & LASSO
Ordinary regressions is usually sufficient, but here we implement Ridge and LASSO regression to introduce the concept of regularization
Ordinary regressions is usually sufficient, but here we implement Ridge and LASSO regression to introduce the concept of regularization
Using decision trees and random forests to predict if a breast cancer tumor is malignate or benighn
In this project we use the famous Iris dataset for classification using linear regression and k-Nearest Neighbors
Given crime data for Florida for 2017 (source: UCR:FBI)
A large number of features can cause for regression models, so we will use PLS Regression on the Florida crime (2017) dataset