Logistic Regression (and why it's different from Linear Regression) скачать в хорошем качестве

Logistic Regression (and why it's different from Linear Regression)

Gentle Introduction to Logistic Regression. We explore this powerful yet simple machine learning model for binary classification tasks like predicting whether a student will pass or fail an exam! We’ll explain the difference between logistic and linear regression, dive into the intuition behind the sigmoid function, and uncover why cross-entropy loss makes sense for probability-based models. No complex math needed—just clear explanations, intuitive visuals, and a practical demo in Python with scikit-learn. --------------- 00:00 Introduction 00:30 Working example 1:06 Review of Linear Regression 2:33 Logistic Regression 3:30 Cross-entropy loss function 7:10 Code This video would not have been possible without the help of Gökçe Dayanıklı.