Decision Boundary Logistic Regression Examples | Machine Learning | Data Science | Dr. Arshad Afridi

This video is about solving the Logistic Regression Decision Boundary problem.  Two examples are solved where decision boundary are derived to understand the concept of decision boundary and Logistic Regression. One example is about the linear distribution of classes. The other one is related to the decision boundary of circular distribution of classes. Decision boundary of logistic regression is important as it lead to understand the concept of perceptron and deep learning. Furthermore, it understand the logistic model to classify different classes by the decision boundary. It is widely used in Machine Learning, Artificial, Deep Learning and Data Science.


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