Unsupervised Learning — K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, Autoencoders

Clustering, PCA, t-SNE, Autoencoders

Author: AI Learning Club Team · Difficulty: Beginner · Duration: 2 hr 10 min · Modules: 25

Modules

  1. Introduction to Unsupervised Learning (5 min)
  2. K-Means Clustering Fundamentals (5 min)
  3. Advanced K-Means Techniques (7 min)
  4. DBSCAN Clustering Fundamentals (5 min)
  5. Advanced DBSCAN Techniques (7 min)
  6. Hierarchical Clustering Fundamentals (5 min)
  7. Advanced Hierarchical Clustering Techniques (7 min)
  8. Principal Component Analysis (PCA) Fundamentals (5 min)
  9. Advanced PCA Techniques (7 min)
  10. t-Distributed Stochastic Neighbor Embedding (t-SNE) Fundamentals (5 min)
  11. Advanced t-SNE Techniques (7 min)
  12. Autoencoders Fundamentals (5 min)
  13. Advanced Autoencoder Techniques (7 min)
  14. Comparing Clustering Algorithms (7 min)
  15. Evaluating Unsupervised Learning Models (7 min)
  16. Feature Selection and Dimensionality Reduction (7 min)
  17. Unsupervised Learning in Practice: Case Studies (8 min)
  18. Unsupervised Learning for Anomaly Detection (7 min)
  19. Unsupervised Learning for Data Preprocessing (7 min)
  20. Unsupervised Learning for Recommender Systems (7 min)
  21. Unsupervised Learning for Image and Text Data (7 min)
  22. Unsupervised Learning for Time Series Data (7 min)
  23. Advanced Topics in Unsupervised Learning (7 min)
  24. Project: Applying Unsupervised Learning to a Real-World Dataset (10 min)
  25. Resources & References (7 min)

Frequently Asked Questions

Is the Unsupervised Learning — K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, Autoencoders course free?

Yes, completely free. All 25 modules are accessible without payment. Sign in with Google to track progress and earn a certificate.

What are the prerequisites for Unsupervised Learning — K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, Autoencoders?

No prerequisites. This course starts from the basics and builds up progressively.

How long does Unsupervised Learning — K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, Autoencoders take to complete?

The course takes approximately 2 hr 10 min to complete across 25 modules. You can learn at your own pace.

Can I run the code examples in my browser?

Yes. Every module includes a "Open in Google Colab" button that lets you run Python code directly in your browser — no setup needed.

Do I get a certificate after completing Unsupervised Learning — K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, Autoencoders?

Yes. Complete all modules and pass the quizzes to earn a shareable certificate.

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