Some models work better when every feature runs from 0 to 1. Min-max scaling does that: (x - min) / (max - min), worked out per column. The numbers are illustrative.
Scale each column of X to the range 0 to 1 and store the result, rounded to 3 decimals.
Expected answer
Store your answer in result.
Hints, the later steps and the answer come with Pro.
import numpy as np
X = np.array([
[25.0, 50000.0, 2.0],
[32.0, 64000.0, 5.0],
[47.0, 120000.0, 1.0],
[51.0, 88000.0, 4.0],
])
result = ...