Introduction to Machine Learning Algorithms course - Session 4 Exercise 3 Apply the following dimensionality reduction techniques to the data: - Filter out columns with a low variance - Filter out one of two columns with a high linear correlation - Replace numeric columns with principal components - Filter out columns which are not important in predicting the target column
This is a companion discussion topic for the original entry at https://kni.me/w/jb45azHiWSMNjbY7