Introduction to Machine Learning

Let's take a quick and simple look into Machine Learning (ML)!

What is Machine Learning?

ML is all about teaching computers to learn patterns from data without being explicitly programmed.

In simple words: give the computer examples, and it figures out rules on its own.

What You Need to Start

To begin with ML, you typically use Python and the following libraries:

NumPy

• Stands for "Numerical Python"
• Used for fast mathematical operations on large datasets.
• Think of it like Python lists, but faster and more powerful.

import numpy as np
arr = np.array([1, 2, 3])
print(arr.mean())  # Output: 2.0

Pandas

• Helps you work with tabular data (like Excel).
• Very useful for data cleaning and analysis.

import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Score': [85, 90]}
df = pd.DataFrame(data)
print(df.head())

Matplotlib

• Used to plot graphs and charts.
• Helps you visualize patterns in your data.

import matplotlib.pyplot as plt
x = [1, 2, 3]
y = [2, 4, 1]
plt.plot(x, y)
plt.title('Sample Plot')
plt.show()