Lec-6.6:BUILDING A MACHINE LEARNING MODEL | Explained Step-by-Step| CLASS 2ND YEAR COMPUTER SCIENCE

📚 Chapter 6 – Continue Your Learning ⬅️ Previous Lecture – 6.3, 6.4 & 6.5:    • Lec-6.3,6.4,6.5:OVERVIEW OF ML, ML MECHANI...   ➡️ Next Lecture – 6.6.1:    • Lec-6.6.1:Building A ML Model (Coding Part...   🔥 Don’t stop here! Watch the next lecture to continue Chapter 6. 📘 Welcome to KIMS College Official Channel How does a Machine Learning model learn from data and make predictions? 🤖📊 In this lecture, we will learn Building a Machine Learning Model from Chapter 6: Data and Analysis for 2nd Year Computer Science students. You will understand the basic steps involved in building a Machine Learning model, from collecting and preparing data to training the model, testing its performance, and using it to make predictions. This lecture will help you understand how raw data is transformed into a useful ML model and why each step is important. The topic is explained in simple and easy English with a clear conceptual approach, making it useful for board exam preparation, MCQs, short questions, long questions, and conceptual understanding. 📚 Chapter 6: Data and Analysis 📌 Topic: Building a Machine Learning Model 🎓 Class: 2nd Year Computer Science Watch the complete lecture and strengthen your Machine Learning and Data Science concepts. 🔔 Subscribe to KIMS College Official Channel for complete Computer Science lectures and exam-focused preparation. 💬 Question: What is the first important step in building a Machine Learning model?