Refactored functional linear regression code into a class

[swayam9705]

Descript of Change

This PR refactors the existing functional linear regression implementation into a reusable LinearRegressionModel class. While the underlying mathematical logic remains the same, this structural change improves modularity and follows standard machine learning library conventions (like Scikit-Learn).

from linear_regression import LinearRegressionModel
points = pd.read_csv("<filename>")

xs = points['x'].values
ys  = points['y'].values

model = LinearRegressionModel()
model.points(xs, ys)
model.train(epochs=100, learning_rate=0.0000001)

model.predict(x)

Checklist

• Refactored functional code into a class.
• Verified that the mathematical output matches the original implementation.
• Updated example usage/main block.
• Added unit tests for the class methods (if applicable).