Numerical to Categorical

Data binning, also known as discretization, is a fundamental and often critical technique in the data preprocessing phase of machine learning and statistical analysis. This process involves transforming continuous numerical variables into discrete, categorical features or “bins.” The primary goals of this transformation are to mitigate the influence of minor measurement errors, handle non-linear relationships […]