Logistic Regression Explained | Machine Learning Basics (Day 16) #aiwithpranay #ai

Day 16 of AI in 60 Days! Today: Logistic Regression ✅❌ Predicts categories (binary classification). Uses a sigmoid curve to output probabilities (0–1). Examples: Spam filter, disease detection, customer churn. Strengths: Simple, interpretable, outputs probability. Weakness: Can’t capture complex patterns. Stay tuned for Day 17: Decision Trees Explained. #LogisticRegression #MachineLearning #Classification #SupervisedLearning #LearnAI #AIin60Days #aiwithpranay