🗜️ PCA (Principal Component Analysis)

PCA is a Dimensionality Reduction technique. It's like a ZIP file for data!

📸 The Shadow Analogy

Imagine casting a 2D shadow of a 3D teapot. You reduced dimensions but kept the shape!

🐍 Python Implementation

from sklearn.decomposition import PCA
import numpy as np

# A dataset with 3 columns (3D data)
X = np.array([
    [1, 2, 3],
    [2, 4, 6],
    [3, 6, 9]
])

# Compress it down to 2 columns!
pca = PCA(n_components=2)
X_compressed = pca.fit_transform(X)

print("Compressed Data:\n", X_compressed)