Binning in R

Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous.

It’s very handy for comparing different sets of data. Binning is a pre-processing procedure for numerical numbers that can be used to group them.

Why do we need binning?
Binning can sometimes increase the predictive model’s accuracy.

To have a better grasp of the data distribution, you can use data binning to group a set of numerical values into a smaller number of bins.

For the complete tutorial visit

Data

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