https://github.com/petsamuel/iris_boston_ml
https://github.com/petsamuel/iris_boston_ml
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/petsamuel/iris_boston_ml
- Owner: Petsamuel
- Created: 2025-02-16T11:24:56.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-02-16T12:09:17.000Z (3 months ago)
- Last Synced: 2025-02-16T12:25:23.692Z (3 months ago)
- Language: Python
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Boston House Price Prediction
This project aims to predict the median value of owner-occupied homes in Boston using linear regression. The dataset used contains various features of the houses, and the target variable is the median value (`MEDV`).
## Installation
1. Clone the repository:
```bash
git clone https://github.com/petsamuel/boston-house-price-prediction.git
cd boston-house-price-prediction
```
2. Create a virtual environment and activate it:
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. Install the required package:
```bash
pip install -r requirements.txt
```
## Usage
```bash
python train.py
```
## Contributing
Contributions are welcome! please open issue or submit a pull request for any improvement or bug fixes
## License
```bash
This README provides a comprehensive overview of the project, including installation instructions, usage, project structure, data description, model training, evaluation, and prediction steps. Adjust the content as needed to fit your specific project details.
```