Python Coding challenge - Day 800| What is the output of the following Python Code?

 

Code Expplanation:

Import the Required Libraries

from sklearn.preprocessing import MinMaxScaler

import numpy as np

MinMaxScaler is imported from sklearn.preprocessing — it is used for normalizing data to a specific range (default range = 0 to 1).

numpy is imported as np — it helps in handling arrays and matrices.

Create a Scaler Object

scaler = MinMaxScaler()

This line creates a MinMaxScaler object named scaler.

The scaler will transform data so that:

Scaled Value=(max−min)(x−min)

​

Create Input Data Using NumPy

data = np.array([[2], [4]])

data is a 2D NumPy array

The values are:

2

4

Here:

min = 2

max = 4

Apply Min-Max Scaling

print(scaler.fit_transform(data)[0][0])

fit_transform(data) does two things:

fit → finds min and max

transform → applies the scaling formula

For the first value 2, the formula becomes:

[0][0] picks the first row, first column value

So the output is:

Final Output

0.0

500 Days Python Coding Challenges with Explanation