Build_Regression_Models_From_Scratch

readme_content = """

📈 Linear Regression from Scratch (Python + NumPy)

This repository demonstrates how to implement Linear Regression from scratch using Python and NumPy.
It explains the mathematics (slope & intercept formulas), provides a simple implementation, and shows predictions.

---

🧮 Mathematical Formulas

For a simple linear regression model:

` y = β₀ + β₁x `

Where:

• β₀ (Intercept) = Mean of y − β₁ × Mean of x
• β₁ (Slope) = Σ((xᵢ − x̄)(yᵢ − ȳ)) / Σ((xᵢ − x̄)²)

Formula Breakdown:

• Slope (β₁):
  ` β₁ = (Σ(xᵢ − x̄)(yᵢ − ȳ)) / (Σ(xᵢ − x̄)²) `

• Intercept (β₀):
  ` β₀ = ȳ − β₁x̄ `

---