Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/vijaymakkad/car-price-prediction

Car Price Prediction using TensorFlow predicts car prices based on features like make, model, year, and mileage. It includes data preprocessing, model building, training, and evaluation. Ideal for ML enthusiasts.
https://github.com/vijaymakkad/car-price-prediction

Last synced: 26 days ago
JSON representation

Car Price Prediction using TensorFlow predicts car prices based on features like make, model, year, and mileage. It includes data preprocessing, model building, training, and evaluation. Ideal for ML enthusiasts.

Awesome Lists containing this project

README

        

Sure, here's a detailed README for your Car Price Prediction project:

---

# Car Price Prediction using TensorFlow

[![GitHub](https://img.shields.io/github/license/VijayMakkad/Car-Price-Prediction)](https://github.com/VijayMakkad/Car-Price-Prediction/blob/main/LICENSE)
[![GitHub issues](https://img.shields.io/github/issues/VijayMakkad/Car-Price-Prediction)](https://github.com/VijayMakkad/Car-Price-Prediction/issues)

This repository contains a machine learning project aimed at predicting car prices using TensorFlow. The project demonstrates the end-to-end process of building a predictive model, from data preprocessing to model training and evaluation.

## Table of Contents

- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Acknowledgments](#acknowledgments)

## Introduction

Car Price Prediction using TensorFlow is a comprehensive project that uses various car features such as make, model, year, and mileage to predict car prices. This project is ideal for those interested in practical applications of deep learning and TensorFlow in real-world scenarios.

## Features

- **Data Collection**: A dataset containing car features and prices.
- **Data Preprocessing**: Cleaning and preparing data for model training.
- **Model Building**: Creating and training a predictive model using TensorFlow.
- **Evaluation**: Assessing the model's performance and accuracy.

## Installation

To get started, clone this repository and install the necessary dependencies:

```bash
git clone https://github.com/VijayMakkad/Car-Price-Prediction.git
cd Car-Price-Prediction
pip install -r requirements.txt
```

## Usage

Run the project with the following command:

```bash
python main.py
```

This will start the data preprocessing, model training, and evaluation pipeline.

## Contributing

Contributions are welcome! Please read the [contributing guidelines](CONTRIBUTING.md) before making any contributions.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- Special thanks to the TensorFlow community for their extensive documentation and support.

---

Feel free to modify this README to better fit your project's specific details and requirements.