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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()