Welcome to the Logistic Regression
In this session, we’ll explore the fundamentals of Logistic Regression, a key algorithm used for classification problems. You'll learn:
What is Logistic Regression and how it works
Difference between Logistic and Linear Regression
Binary classification use cases (like spam vs not spam)
How to build and train a Logistic Regression model using Python
Predicting outcomes and evaluating the model (accuracy, confusion matrix, etc.)
