Polynomial Regression Algorithm | Polynomial Regression Using Python
In this video, I explain the differences between Linear Regression and Polynomial Regression both mathematically and through a practical example.
We solve a real dataset using both Linear and Polynomial Regression, compare the results, and see how Polynomial Regression can better capture non-linear relationships in the data. This tutorial helps you understand when to use linear vs polynomial models in Machine Learning.
In this video, you’ll learn:
Key differences between Linear and Polynomial Regression
Mathematical concepts behind both models
Solving a dataset using Linear Regression
Solving the same dataset using Polynomial Regression
Comparing predictions and evaluating model performance
When to use Polynomial Regression over Linear Regression
This video is ideal for:
Beginners learning Regression in Machine Learning
Students preparing for ML interviews
Anyone wanting to understand non-linear modeling in practice
🎯 Python implementation included to follow along step by step.
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