• Jan 31, 2026 hands on unsupervised learning using python how t r import KMeans import matplotlib.pyplot as plt Determine optimal K using the Elbow method wcss = [] for k in range(1, 10): kmeans = KMeans(n_clusters=k, random_state=42) kmeans.fit(df) wcss.append(kmeans.inertia_) plt.plot(range(1, 10), wcss, marker='o') plt.xlabel('Number of clus By Niko Kertzmann
