Lecture 6: Training Data vs Test Data Explained

Welcome to Lecture 6 of the Machine Learning Journey series! In this lecture, we understand one of the most important concepts in Machine Learning: ✅ What is Training Data? ✅ What is Test Data? ✅ Why can't we test on training data? ✅ Memorization vs Learning ✅ Training Set vs Test Set ✅ Introduction to Validation Set You'll learn how Machine Learning models are trained on past data and evaluated on new unseen data to ensure they can generalize to real-world situations. Topics Covered: • Training Data • Test Data • Validation Data • Generalization • Overfitting (Introduction) 📚 Machine Learning Journey Series Lecture 1: AI vs ML vs DL vs GenAI Lecture 2: Understanding Data Lecture 3: Features and Labels Lecture 4: Types of Machine Learning Lecture 5: Classification vs Regression Lecture 6: Training Data vs Test Data 👍 If you find this lecture helpful, Like, Share, and Subscribe. #MachineLearning #DataScience #TrainingData #TestData #ValidationSet #MachineLearningForBeginners #ArtificialIntelligence #MLCourse