📚 Key Topics Covered:
➤ Introduction to Machine Learning Paradigms
➤ Supervised vs Unsupervised Learning
➤ Reinforcement Learning Fundamentals
➤ Classification vs Regression Tasks
➤Dimensionality Reduction
➤ Linear Algebra Essentials
IITM ML Course Syllabus
🎯 Perfect For:
NPTEL/IITM students
Engineering & CS aspirants
Data Science enthusiasts
Anyone starting ML journey
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