*Simple Linear Regression from Scratch* Using only NumPy, implement a simple linear regression model that fits a line $y = wx + b$ to a dataset. Your implementation should: a) Generate synthetic data: $y = 3x + 7 + \epsilon$ where $\epsilon \sim \mathcal{N}(0, 1)$ b) Implement gradient descent to le