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

Описание: 📘 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*
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