LDA and PCA in Machine Learning | NPTEL Exam Preparation | Important Questions & Answers | ML Basics

Dear all,
Prepare smartly for your NPTEL Final Exam on Machine Learning and Deep Learning – Fundamentals and Applications with this detailed explanation and MCQ discussion on LDA (Linear Discriminant Analysis) and PCA (Principal Component Analysis).

In this video by Dr. Vineeth Kumar P K (SimplifiedEEEStudies), you’ll learn:
✅ Concept and difference between PCA and LDA
✅ Step-by-step derivation and visualization of Dimensionality Reduction
✅ Previous Year NPTEL MCQs and solutions
✅ Key advantages, limitations, and real-world examples
✅ Quick revision notes for GATE, NPTEL, and Competitive Exams

📘 Perfect for:

NPTEL Machine Learning students (CSE, ISE, AI, DS)

GATE, UPSC, Kerala PSC, and VTU exam aspirants

Learners focusing on Machine Learning fundamentals

Boost your NPTEL score with SimplifiedEEEStudies — your one-stop solution for smart, exam-oriented learning.

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