Logistic Regression in Hindi

Logistic Regression is a powerful supervised ML algorithm used for classification tasks (despite the name "regression"). It predicts the probability of a binary outcome (0/1, Yes/No) using the Sigmoid function to squash outputs between 0 and 1! How it works: Starts like linear regression (y = mx + c) Applies Sigmoid: Probability = 1 / (1 + e^(-z)) Threshold (usually 0.5) decides the class Pros: Interpretable, fast, great for binary problems. Cons: Assumes linear decision boundary, struggles with complex data. Used for spam detection, disease prediction & more! Full explanation in 60 sec 🚀 #rajatkumar Confused between Linear vs Logistic? Comment below 👇 Like if this clicked ❤️ Save & share with your ML friends! 📲 #rajatkumar #MachineLearning #LogisticRegression #MLBasics #DataScience #RajatKumar