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https://github.com/cyberfantics/car-sales-prediction
This repository contains a Streamlit application designed to predict car prices based on various features such as brand, mileage, engine capacity, and more. Leveraging machine learning, the app provides users with an intuitive interface to estimate car values easily.
https://github.com/cyberfantics/car-sales-prediction
artificial-intelligence machine-learning prediction-model
Last synced: about 1 month ago
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This repository contains a Streamlit application designed to predict car prices based on various features such as brand, mileage, engine capacity, and more. Leveraging machine learning, the app provides users with an intuitive interface to estimate car values easily.
- Host: GitHub
- URL: https://github.com/cyberfantics/car-sales-prediction
- Owner: cyberfantics
- Created: 2024-09-12T17:46:44.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-09-18T06:02:15.000Z (4 months ago)
- Last Synced: 2024-09-18T19:13:04.111Z (3 months ago)
- Topics: artificial-intelligence, machine-learning, prediction-model
- Language: Jupyter Notebook
- Homepage: https://cyberfantics-car-sales-prediction-app-1sc5yp.streamlit.app/
- Size: 396 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: ReadMe.md
Awesome Lists containing this project
README
# Car Price Prediction App
This repository contains a Streamlit application for predicting car prices based on various features, such as brand, mileage, engine capacity, and more. The application uses a machine learning model to provide users with an intuitive interface for estimating car values.
## Features
- **User-Friendly Interface**: Easy-to-use form for inputting car details.
- **Price Prediction**: Utilizes a trained model to estimate car prices based on user inputs.
- **Data Analysis**: A comprehensive Jupyter notebook included for data exploration and feature engineering.
## Technologies Used
- **Python**: Main programming language.
- **Streamlit**: Framework for building the web application.
- **Pandas**: Data manipulation and analysis.
- **Scikit-Learn**: Machine learning library for model building.
- **Jupyter Notebook**: For data analysis and visualization.
## Getting Started
### Prerequisites
Make sure you have Python installed on your system along with the following packages:
```bash
pip install streamlit pandas scikit-learn
```
### Running the Application
1. Clone the repository
```
git clone https://github.com/cyberfantics/car-price-prediction.git
cd car-price-prediction
```
2. Run the Streamlit app
```
streamlit run app.py
```
### Jupyter Notebook
The 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.
## Developer
- **Mansoor Bukhari**
- [GitHub](https://github.com/CyberFantics)
- [LinkedIn](https://www.linkedin.com/in/mansoor-bukhari-77549a264/)
- [Email](mailto:[email protected])
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