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Linear Regression from scratch with gradient descent | sklearn | Learn Data Science #datascience

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Ever wondered how linear regression actually works behind the scenes? 🤔 In this video, we’ll break it down step-by-step and build a Linear Regression model from scratch using Gradient Descent in Python.

Dataset link:
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html

sklearn linear regression documentation:
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html

🔧 What you'll learn:

How to implement linear regression from the ground up 🧠

How gradient descent optimizes the model

How to compare your custom model’s performance with sklearn.linear_model.LinearRegression

📊 Whether you're just starting out with machine learning or want a deeper understanding of how models are trained, this video is perfect for you!

👉 At the end, we compare our custom model with scikit-learn’s implementation and see how well we did!

👍 Don’t forget to like, share, and subscribe for more practical ML tutorials!

#LinearRegression #MachineLearning #GradientDescent #Python #Sklearn #MLFromScratch

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