Scaling to the maximum and minimum values

Scaling to the minimum and maximum values squeezes the values of the variables between 0 and 1. To implement this scaling technique, we need to subtract the minimum value from all the observations and divide the result by the value range, that is, the difference between the maximum and minimum values:

In this recipe, we will implement scaling on the minimum and maximum values by utilizing scikit-learn.

How to do it...

To begin, we will import the required packages, load the dataset, and prepare the train and test sets:

1. Import pandas and the required scikit-learn classes and function:

import pandas as pd
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split...