Python - Python Machine Learning - Mean Median Mode Part 1: Understanding Mean in Machine Learning

The **mean** (average) is one of the most commonly used statistical measures. It is calculated by adding all the values in a dataset and dividing by the total number of values. Mean is useful in machine learning for understanding central tendencies in data.

Example 1: Calculating Mean

import numpy as np

data = [10, 20, 30, 40, 50]

mean_value = np.mean(data)

print("Mean:", mean_value)

Explanation: The mean is calculated as (10+20+30+40+50) / 5 = 30.

Example 2: Mean of a Larger Dataset

data = [5, 15, 25, 35, 45, 55, 65, 75]

print("Mean:", np.mean(data))

Explanation: This helps understand central values in larger datasets.