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Welcome to the comprehensive assignment solution video for Week 5 of the NPTEL course "Machine Learning (ML)" for the January 2026 session. This course is taught by the distinguished Prof. Carl Gustaf Jansson from KTH, The Royal Institute of Technology. In this video, we provide detailed solutions for the Week 5 assignment questions. We understand the critical importance of precision in this field, which is why these answers are prepared with a focus on higher accuracy. Our goal is to help you verify your work and grasp the underlying concepts taught in this week's lectures. Use this walkthrough as a reliable study aid to strengthen your understanding of Machine Learning principles. Course Details: Course Name: Machine Learning (ML) Instructor: Prof. Carl Gustaf Jansson (KTH, The Royal Institute of Technology) Platform: NPTEL Swayam Session: January - April 2026 Current Assignment: Week 5 Solutions If this video helps you with your studies, please hit the Like button and Subscribe to the channel. Stay tuned for accurate solutions to upcoming assignments (Week 6, 7, and beyond). Disclaimer: These solutions are intended for educational purposes to assist students. We highly recommend attempting the assignment questions independently first to ensure a deeper learning experience. SEO Tags NPTEL Machine Learning, Machine Learning NPTEL full course, NPTEL ML Week 5 solution, Machine Learning Week 5 assignment answers, Prof Carl Gustaf Jansson NPTEL, KTH Royal Institute of Technology ML, NPTEL Jan 2026 session, NPTEL assignment solutions 2026, accurate NPTEL solutions, Swayam Machine Learning course, ML assignment help.