Lecture 3: Features and Labels

Welcome to Lecture 3 of the Machine Learning Journey series! In this lecture, we will understand one of the most fundamental concepts in Machine Learning: ✅ What are Features? ✅ What are Labels? ✅ Features (X) vs Labels (Y) ✅ Feature Vector ✅ Feature Matrix ✅ Label Vector ✅ Real-world Examples Through examples like House Price Prediction, Spam Detection, and Disease Prediction, you'll learn how Machine Learning models use input features to predict output labels. By the end of this lecture, you'll understand the relationship: Features (X) → Machine Learning Model → Labels (Y) This concept forms the foundation of Supervised Learning and will be used throughout the rest of this course. 📚 Machine Learning Journey Series Lecture 1: AI vs ML vs DL vs GenAI Lecture 2: Understanding Data Lecture 3: Features and Labels 👍 If you find this helpful, please Like, Share, and Subscribe. #MachineLearning #ArtificialIntelligence #DataScience #MachineLearningForBeginners #FeaturesAndLabels #SupervisedLearning #MLCourse #Python #DeepLearning #AI