Data binning in data mining is an important step of data pre processing to Dealing with noisy data and feature engineering python it is a way to group numbers of more or less continuous values into a smaller number of "bins".
The original data values are divided into small intervals known as bins and then they are replaced by a general value calculated for that bin.
Features are the term used for the columns in the analytics base table (ABT). There is a particular type of feature known as a continuous feature. These are features that have a very high cardinality because the allowed values (domain) is on a spectrum. We can convert these continuous features to categorical features through a process called binning.
we will see how to deal with noisy data using data binning
