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CSJMU 1
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TOPIC I COVERED :- 
 
• Foundations of Unsupervised Machine Learning 
• Characteristics of Unlabeled Data and Learning Without Targets 
• Core Tasks in Unsupervised ML (Clustering & Anomaly Detection) 
• Overview of Clustering Techniques 
• K-Means Clustering: Concept, Objective Function, and Workflow 
• Elbow Method for Optimal Cluster Selection (WCSS Analysis) 
• K-Means Implementation and Visualization 
• Hierarchical Clustering: Theory, Types, and Dendrogram Analysis 
• Agg...
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- • 29 pages's •
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