Multiple_linear_regression model for prediction of house price
# Multiple Linear Regression from Scratch
## Project Description
This project implements a multiple linear regression model from scratch using the gradient descent algorithm. It aims to demonstrate the complete process of training, evaluating, and visualizing a machine learning model through a simple house price prediction case study.
## File Structure
- multiple\_linear\_regression.ipynb: Contains the complete code, detailed comments, and all execution outputs, making it easy for learning and understanding.
- multiple\_linear\_regression.py: A runnable Python script that includes all core functions and the main program logic.
- requirements.txt: A list of required Python libraries for the project.