In order to avoid overfitting in regression due to too many feature while at the same time have enough features to minimize the sum of squared errors in order to…

# Posts published in “Regression”

To detect and get rid of outliers in a dataset (which may for instance have been caused by sensor error or data entry error) you first train your data, and…

Two slightly similar concepts in supervised machine learning are Supervised classification, and regression. With supervised classification you will get a discrete output (a label or boolean value) and in regression…