{"id":20811429,"url":"https://github.com/cyberfantics/car-sales-prediction","last_synced_at":"2025-03-12T04:43:46.544Z","repository":{"id":257107380,"uuid":"856513709","full_name":"cyberfantics/Car-Sales-Prediction","owner":"cyberfantics","description":"This repository contains a Streamlit application designed to predict car prices based on various features such as brand, mileage, engine capacity, and more. 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The application uses a machine learning model to provide users with an intuitive interface for estimating car values.\n\n## Features\n\n- **User-Friendly Interface**: Easy-to-use form for inputting car details.\n- **Price Prediction**: Utilizes a trained model to estimate car prices based on user inputs.\n- **Data Analysis**: A comprehensive Jupyter notebook included for data exploration and feature engineering.\n\n## Technologies Used\n\n- **Python**: Main programming language.\n- **Streamlit**: Framework for building the web application.\n- **Pandas**: Data manipulation and analysis.\n- **Scikit-Learn**: Machine learning library for model building.\n- **Jupyter Notebook**: For data analysis and visualization.\n\n## Getting Started\n\n### Prerequisites\n\nMake sure you have Python installed on your system along with the following packages:\n\n```bash\npip install streamlit pandas scikit-learn\n```\n### Running the Application\n1. Clone the repository\n```\n   git clone https://github.com/cyberfantics/car-price-prediction.git\n   cd car-price-prediction\n```\n\n2. Run the Streamlit app\n  ```\nstreamlit run app.py\n  ```\n\n### Jupyter Notebook\nThe repository includes a Jupyter notebook named Car_Price_Analysis.ipynb, which provides a detailed analysis of the dataset, including data cleaning, feature engineering, and exploratory data analysis.\n\n## Developer\n\n- **Mansoor Bukhari**\n  - [GitHub](https://github.com/CyberFantics)\n  - [LinkedIn](https://www.linkedin.com/in/mansoor-bukhari-77549a264/)\n  - [Email](mailto:digital.creator380@gmail.com)\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberfantics%2Fcar-sales-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcyberfantics%2Fcar-sales-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberfantics%2Fcar-sales-prediction/lists"}