Скачать или смотреть Ridge Regression from Scratch in Python | OLS Regularization Explained with Code

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🎓 In this video, we build Ridge Regression (L2 Regularization) from scratch using Python and NumPy. Dive deep into the mathematical foundation of regularized linear models and understand how to prevent overfitting in linear regression using a penalty term!

🧠 What you'll learn:
What is Ridge Regression?
How to implement Ridge Regression manually using NumPy
The role of lambda (regularization strength)
Calculating Mean Squared Error (MSE) and R² Score

🧾 Source Code:
📌 Class: `OLSRigdRegression`
📌 Key Methods: `fit`, `predict`, `mse`, `r2_score`

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#️⃣ Hashtags:
#RidgeRegression #MachineLearning #PythonCoding #NumPy #DataScience #LinearRegression #MLFromScratch #AI #MathInPython #RegressionAnalysis