🚗 Simple Linear Regression: Car Price Estimator

This project implements a simple linear regression model to estimate the price of a car based on its mileage. It includes:

• A training program that reads a dataset and learns from it
• A prediction program that estimates a price given a mileage
• Bonus features like graphing and precision evaluation

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🧠 Concept

The model uses the hypothesis function:

estimatePrice(mileage) = θ₀ + θ₁ × mileage

The training algorithm updates θ₀ and θ₁ using gradient descent.

🚀 Getting Started

• Initialization: pip install -r requirements.txt (Use a virtual env)
• Training: python3 train.py [dataset.csv]
• Predicting: python3 predict.py Save your dataset in the root of your directory under the name data.csv Your dataset should be a CSV with the following structure: mileage,price 24000,20000 46000,12000 ...

📁 File Structure

. ├── train.py ├── predict.py ├── data.csv ├── model_params.json ├── visualize.py ├── evaluate.py └── README.md

🏅 Bonus Features (In Progress)

Feature Status Plotting data points ... Plotting the regression line ... Calculating model precision (MSE) ...

Made with ❤️ for learning and experimentation.