How to Use Discretization Transforms for Machine Learning
( go to the article → https://machinelearningmastery.com/discretization-transforms-for-machine-learning/ )
Numerical input variables may have a highly skewed or non-standard distribution. This could be caused by outliers in the data, multi-modal distributions, highly exponential distributions, and more. Many machine learning algorithms prefer or perform better when numerical input variables have a standard probability distribution. The discretization transform provides an automatic way to change a numeric […] The post How to Use Discretization Transforms for Machine Learning appeared first on Machine Learning Mastery.
May 21, 2020, 7 p.m.