MLeasyData processing~10m

Min-Max Normalization to 0-1

Problem

Implement min-max normalization that scales input values to the range [0, 1] using the formula (x - min) / (max - min). Handle the edge case where all values are identical.

Examples

Example 1

Input: [1, 2, 3, 4, 5]

Output: [0.0, 0.25, 0.5, 0.75, 1.0]

Values scaled linearly from min=1 to max=5 into range [0,1].

Constraints

›NumPy only (import numpy as np)
›Function must be named solution

Reference solution

Reference solution available after you attempt the question.

Ready to solve it?

Start a session on Mockbit #91. You'll get graded with specific critique when you submit.