Unsupervised Learning Projects

Unsupervised Machine Learning Projects

A curated portfolio of 30 unsupervised machine learning projects covering clustering, anomaly detection, topic discovery, recommendation systems, vector retrieval, association-rule mining, dimensionality reduction, behavioral segmentation and graph community detection.

The repository is designed as a practical reference for learners, practitioners, recruiters, and reviewers who want to explore complete unsupervised learning workflows with reproducible code and preserved notebook outputs.

Repository Highlights

• End-to-end unsupervised learning projects with practical problem statements.
• Clustering, anomaly detection, NLP, recommendation, GenAI, cybersecurity, healthcare, industrial, geospatial, and customer analytics use cases.
• Executed notebook outputs preserved for easier review.
• Reproducible workflows with preprocessing, model selection, internal validation, stability analysis, interpretation, and documented limitations.
• A mix of maintained original projects, selectively refurbished projects, and newly added portfolio projects.

Portfolio Standards

• No prediction target is used during unsupervised model fitting.
• Internal metrics are paired with stability, interpretability, and domain-relevance checks.
• Synthetic or known labels, when available, are used only for retrospective evaluation—not during model training.
• Demo datasets and generated results are deterministic and clearly identified.
• Anomaly scores, clusters, recommendations, and discovered patterns are presented as decision-support signals rather than ground truth.
• Relative paths, reproducible seeds, dependency guidance, saved notebook outputs, and the locked creator branding are preserved.

Projects

#	Project	Primary method	Decision
1	Basic Movie Recommender System	Recommendation	Refurbished
2	Book Recommendation Engine	Recommendation	Refurbished
3	Customer Segmentation Using Clustering Techniques	Clustering	Refurbished
4	Fraudulent Transaction Detection	Anomaly detection	Maintained
5	Market Basket Analysis	Association rules	Maintained
6	LLM Prompt Intent Clustering	Text clustering and similarity	New
7	RAG Document Chunk Clustering	Text clustering and similarity	New
8	Customer Support Topic Discovery	Text clustering and similarity	New
9	Research Paper Topic Mapping	Text clustering and similarity	New
10	Product Review Theme Mining	Text clustering and similarity	New
11	Duplicate Question Discovery	Text clustering and similarity	New
12	Resume Skill Taxonomy Discovery	Text clustering and similarity	New
13	AI Agent Trace Pattern Mining	Behavioral clustering	New
14	E-Commerce Shopper Behavior Clustering	Behavioral clustering	New
15	Patient Lifestyle Phenotyping	Behavioral clustering	New
16	EV Charging Session Clustering	Behavioral clustering	New
17	Maritime Vessel Trajectory Clustering	Behavioral clustering	New
18	Crop Field Management Zone Clustering	Behavioral clustering	New
19	Air Quality Monitoring Station Clustering	Behavioral clustering	New
20	Music Listener Persona Clustering	Behavioral clustering	New
21	Supply Chain Route Pattern Clustering	Behavioral clustering	New
22	Cybersecurity Network Traffic Anomaly Detection	Anomaly detection	New
23	Cloud Infrastructure Log Anomaly Detection	Anomaly detection	New
24	Manufacturing Sensor Anomaly Detection	Anomaly detection	New
25	Energy Consumption Anomaly Detection	Anomaly detection	New
26	IoT Device Behavior Anomaly Detection	Anomaly detection	New
27	LLM Token Cost Anomaly Detection	Anomaly detection	New
28	AI Image Embedding Clustering and Visual Search	Embedding clustering and retrieval	New
29	Product Catalog Similarity Recommender	Content recommendation	New
30	Social Network Community Detection	Graph community detection	New

Author

Tajamul Khan — Data Scientist and AI Engineer

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