INT396Semester 6 • 3 CreditsSpecialization SubjectsComing Soon
Unsupervised Learning
This course covers fundamental concepts and algorithms of unsupervised learning, including clustering, dimensionality reduction, and anomaly detection, along with applying these techniques on real-world datasets using Python frameworks.
6 Units • Notes • Model Answers • MCQs
Course In Preparation: The unit notes, subjective model answers, and practice MCQs for INT396 (Unsupervised Learning) are currently in production and will appear here as soon as they are published.
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Active: Unit 1Unit 1:Unit 1: Foundations of Unsupervised Learning
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Unit 1 Notes in Preparation
High-yield concept notes and core revision summaries for Unit 1: Foundations of Unsupervised Learning are currently being rewritten and audited for academic excellence.
Table of Contents
Reading through Unit 1 notes.
Unit 10 Sections
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