Machine Learning, Artificial Intelligence, Dimensionality Reduction, Data Science, Heartbeat.
large number of dimensions, we want to get rid of variables that have a low variance in comparison to others. This is because these variables will not explain the variation in the variables of interest. 5. Multicollinearity There are a lot of redundant variables because several of them are commonly