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Chapters

  • Course Outline
  • Introduction to Machine Learning
  • Supervised Learning: Regression
  • Supervised Learning: Classification
  • Unsupervised Learning
    • Intro to Unsupervised Learning
    • K-Means Clustering
    • K-Medoids Clustering
    • Hierarchical Clustering
    • Apriori Algorithm
    • Anomaly Detection
  • Unit 5: Trends and Applications
  • Unit 6: Advanced Topics & MLOps (Bonus)

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Machine Learning

Unsupervised Learning

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Unsupervised Learning

This unit explores Unsupervised Learning, where algorithms discover hidden patterns in unlabeled data. We cover Clustering techniques (K-Means, K-Medoids, Hierarchical), Association Rule Mining (Apriori), and Anomaly Detection.

Unit Topics

Intro to Unsupervised LearningK-Means ClusteringK-Medoids ClusteringHierarchical ClusteringApriori AlgorithmAnomaly Detection
Supervised Learning: ClassificationUnit 5: Trends and Applications
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