Linear Regression Notebook

This Jupyter notebook provides a complete beginner-friendly guide to understanding and implementing Linear Regression from scratch.

The tutorial includes: Detailed mathematical theory behind linear regression

• Step-by-step implementation in Python
• Visual explanations of model performance
• Clear explanations of all parameters and functions
• Training loss visualisation and interpretation
• Model fitting results and analysis

Perfect for students and practitioners looking to understand the fundamentals of machine learning. Requirements:

• Python 3.x
• NumPy
• Pandas
• Matplotlib