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Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture provides a step-by-step guide to coding linear regression using MATLAB. It involves creating synthetic data and implementing gradient descent to find optimal model parameters. The lecture covers setting hyperparameters, defining stopping criteria, and visualizing the results, offering practical insights into the implementation of linear regression. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #LinearRegression #GradientDescent #MATLABCode #SyntheticData #Hyperparameters #StoppingCriteria
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