K Nearest Neighbors (KNN) Explained | Hands-On Machine Learning Chapter 1 | Learn AI with Rawal

📘 Google Colab Notebook: https://github.com/ageron/handson-ml2... In this video, we’ll continue our journey through Hands-On Machine Learning (Chapter 1) and replace our Linear Regression model with **K Nearest Neighbors (KNN)**. We’ll see how a simple change of two lines completely changes how the model learns and predicts! Chapters: Recap of Linear Regression Replacing LinearRegression with KNeighborsRegressor Training KNN model Making predictions Why the results are different KNN vs Linear Regression comparison What we’ll cover next (Train/Test Split and RMSE) 💡 Topics Covered: What is K Nearest Neighbors (KNN)? Difference between Linear Regression and KNN How to replace and run a new model in scikit-learn Local vs Global Learning Concept Why prediction differs between both models ⚙️ Tools Used: Google Colab Python 3.10+ scikit-learn 1.0.1+ pandas, numpy, matplotlib 📚 Next video: *Train/Test Split & RMSE Evaluation* 🎓 Subscribe to continue this Hands-On Machine Learning series in simple Hinglish! #MachineLearning #KNN #LearnAIwithRawal #HandsOnMachineLearning #AurelienGéron #PythonTutorial #GoogleColab #ArtificialIntelligence #DataScience #SupervisedLearning knn, k nearest neighbors, machine learning tutorial, hands on machine learning, aurelien geron, learn ai with rawal, google colab, knn python, sklearn knn, data science for beginners, ml step by step, supervised learning, ml for beginners, machine learning hindi, ai tutorials, colab machine learning, ml practical demo