CS 471

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Machine Learning(Regression and Classification (Coursera))
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    Machine Learning(Regression and Classification (Coursera))

  • This document provides a clear and structured explanation of the Machine Learning Specialization course with a focus on Regression and Classification. It covers key supervised learning techniques such as linear regression, logistic regression, cost functions, and gradient descent. Important concepts like overfitting, underfitting, and regularization are explained for better model performance. The notes also discuss evaluation metrics and decision boundaries used to assess models. Overall, th...
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