Linear Regression from Scratch in Python: Step-by-Step Code (Machine Learning Basics)
Автор: Math2Machine
Загружено: 2025-02-16
Просмотров: 40
Описание:
💻 Code Linear Regression from Scratch! In this video, we’ll implement Linear Regression without libraries—perfect for understanding how algorithms work under the hood.
🔍 What You’ll Build:
✅ Initialize Parameters (Slope & Intercept).
✅ Compute the Hypothesis Function.
✅ Calculate Cost (Mean Squared Error).
✅ Implement Gradient Descent from Scratch.
✅ Visualize the Best Fit Line on Real Data.
#MachineLearning #Python #Coding #DataScience
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