Welcome to the most beginner-friendly explanation of Logistic Regression! In this video, I break down Logistic Regression and the Sigmoid Activation Function in the simplest way possible—perfect for students, ML beginners, and those preparing for interviews. Whether you're learning Machine Learning for: ✔ College/University ✔ Data Science interviews ✔ Competitive exams ✔ Projects & research …this video will help you understand Logistic Regression with deep intuition + math + practical view. 👉 What is Logistic Regression? 👉 Why Linear Regression is not enough for classification 👉 Sigmoid (Logistic) Activation Function explained 👉 Mathematical intuition behind logistic regression 👉 Decision boundary and threshold 👉 Cost/Loss function for logistic regression 👉 Gradient Descent briefly explained 👉 Real-life applications 👉 How models classify using probability