Lec-6.8:VALIDATION AND MODEL IMPROVEMENT| CLASS 2ND YEAR COMPUTER SCIENCE

📚 Chapter 6 – Almost There! ⬅️ Previous Lecture – 6.7:    • Lec-6.7:MODEL EVALUATION AND PERFORMANCE M...   ➡️ Next Lecture – 6.9:    • Lec-6.9:PREDICTIVE MODELING AND CAUSALITY|...   🎯 Continue to the next lecture and complete your Chapter 6 preparation. 📘 Welcome to KIMS College Official Channel What if your Machine Learning model is not giving accurate results? 🤔🤖 How can we improve it? In this lecture, we will learn about Validation and Model Improvement from Chapter 6: Data and Analysis for 2nd Year Computer Science students. You will understand why validation is important in Machine Learning and how it helps us check whether a model performs well on data it has not seen before. We will also learn how a Machine Learning model can be improved by identifying problems, adjusting the model, and using suitable data and techniques to achieve better performance. This topic is especially useful for board exam preparation, MCQs, short questions, long questions, and conceptual understanding. All concepts are explained in simple and easy English to make Machine Learning easier to understand. 📚 Chapter 6: Data and Analysis 📌 Topic: Validation and Model Improvement 🎓 Class: 2nd Year Computer Science Watch the complete lecture and strengthen your Machine Learning and Data Analysis concepts. 🔔 Subscribe to KIMS College Official Channel for complete Computer Science lectures and exam-focused preparation. 💬 Question: Why is validation important when improving a Machine Learning model?