Train and Test Data Explained | How to Split Dataset in Machine Learning скачать в хорошем качестве

Train and Test Data Explained | How to Split Dataset in Machine Learning

In this video, we explain one of the most important concepts in Machine Learning: Train Data and Test Data. If you are learning Machine Learning from scratch, this video is for you. No advanced maths, no confusion – only simple and clear explanation. 📌 What you will learn in this video: ✔ What is Training Data ✔ What is Testing Data ✔ Why we split the dataset ✔ Train vs Test Data explained with real-life examples ✔ Common split ratios (70–30, 80–20) ✔ How data splitting helps avoid memorization ✔ How it improves real-world prediction performance 🎯 Key Concept: Training data is used to teach the model. Testing data is used to evaluate the model on unseen data. This video is a continuation of my previous Machine Learning practical videos. In the next video, we will learn about Overfitting and Underfitting. 🔔 Subscribe for beginner-friendly Machine Learning tutorials 👍 Like & Share if this video helped you #MachineLearning #TrainTestSplit #MLForBeginners