Min-max scaling, also known as feature scaling, involves transforming the values of a dataset to lie within a given range. The formula for min-max scaling is:
X_scaled = (X - X_min) / (X_max - X_min)
Where: - X is the original value - X_min is the minimum value in the dataset - X_max is the maximum value in the dataset
