Association Rule Mining (Market Basket Analysis)

Summary

Finding patterns like 'customers who buy X also buy Y' from transaction data — the classic technique behind retail recommendation logic like the Apriori algorithm.

How to Learn This

1Run a basic Apriori analysis on a sample transaction dataset.
2Learn the terms support, confidence, and lift, and what each measures.
3Identify a real 'frequently bought together' pattern you'd expect in a retail dataset.

Anomaly Detection

Dimensionality Reduction (t-SNE, UMAP Overview)

More topics in Unsupervised Learning

K-Means Clustering Hierarchical Clustering DBSCAN Principal Component Analysis (PCA)Anomaly Detection Dimensionality Reduction (t-SNE, UMAP Overview)

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