Rainfall Prediction Using Linear Regression

This project implements a machine learning system to predict rainfall based on weather parameters (Temperature, Humidity, Pressure, Wind Speed) using Linear Regression.

Project Structure

• data_loader.py: Handles data generation and loading.
• model.py: Contains the Linear Regression model class.
• train.py: Main script to train and evaluate the model.
• requirements.txt: List of dependencies.

Usage

Run the training script to generate synthetic data and train the model:

python train.py