Binning is a Data pre-processing technique used to reduce the effects of Minor observation errors by transforming Numerical Data into Categorical Data. It involves dividing the range of a Continuous Variable into intervals or 'bins' and assigning each Data Point to a bin, which can Simplify analysis and Improve model performance by handling outliers and noise more effectively.