Dimensionality Reduction - exercise
Introduction to Machine Learning Algorithms course - Session 4
Exercise 4
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
Introduction to Machine Learning Algorithms course - Session 4
Exercise 4
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