This is a machine learning project built with Node.js and TensorFlow.js aimed at exploring and predicting the relationship between car horsepower and fuel efficiency (MPG) in vintage cars from the 1970s era.
This project serves as a learning platform to delve into machine learning techniques, specifically linear regression with gradient descent, to analyze and predict MPG based on car horsepower using a curated dataset of classic automobiles from the 1970s.
- Data Exploration: 📊 Analyze vintage car data, understand trends, and preprocess information for modeling.
- Linear Regression: 📈 Implement a predictive model to estimate MPG from car horsepower using TensorFlow.js and gradient descent.
- Evaluation: 🧪 Assess model accuracy, tune parameters, and validate results.
- Visualization: 📉 Display visual insights and regression analysis results as graphs. Graphs will be generated in
pngformat inside thedata/directory.
- Installation: 💻 Clone the repository and install dependencies using
npm install. - Run:
▶️ Execute the project usingnpm start.
Contributions are welcome! Fork the repository, create a new branch, and submit a pull request with your enhancements or fixes.
This project is licensed under the GPL-3.0 License.
- Special thanks to the amazing communities of Node.js & TensorFlow JS.
Feel free to reach out at [email protected] for any queries.