Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Logistic Regression

The video tutorial explains logistic regression as a classification model, despite its misleading name. It compares logistic regression with support vector machines, highlighting its lack of sparsity. The tutorial delves into probability modeling using Bernoulli random variables and binary classification. It covers parameter estimation through maximum likelihood and introduces the logistic function, leading to the concept of cross entropy loss. The video concludes with a brief mention of ridge regression.

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