📢 Day 2 : Learning Linear Regression – Understanding the Math Behind ML
harshalkharabe
April 15, 2025
reddit
Hey everyone! Today, I studied Linear Regression and its mathematical representation. 📖
Key Concepts: ✅ Hypothesis Function → h(x) =θ0+θ1x
✅ Cost Function (Squared Error Loss) → Measures how well predictions match actual values. ✅ Gradient Descent → Optimizes parameters to minimize cost.
Here are my handwritten notes summarizing what I learned!
Next, I’ll implement this in Python. Any dataset recommendations for practice? 🚀
#MachineLearning #AI #LinearRegression
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