> ## Documentation Index
> Fetch the complete documentation index at: https://heart.metesahankurt.cloud/llms.txt
> Use this file to discover all available pages before exploring further.

# Getting Started

> Set up the environment and run the notebook locally.

# Getting Started

## Prerequisites

* Python 3.10 or higher
* Git

## Installation

Clone the repository and create a virtual environment:

```bash theme={null}
git clone https://github.com/metesahankurt/heart-disease-uci.git
cd heart-disease-uci
python3 -m venv venv
source venv/bin/activate   # Windows: venv\Scripts\activate
```

Install dependencies:

```bash theme={null}
pip install tensorflow scikit-learn pandas numpy matplotlib seaborn jupyter
```

## Running the Notebook

```bash theme={null}
jupyter notebook heart_disease_classification.ipynb
```

The notebook is self-contained — it loads `heart.csv`, preprocesses the data, trains the model, and runs all experiments in sequence.

## Repository Structure

```
heart-disease-uci/
├── heart_disease_classification.ipynb   # Main notebook (Turkish)
├── heart.csv                            # Dataset (UCI Heart Disease)
├── docs/                                # Documentation (Mintlify)
└── README.md
```

## License

MIT License — free to use, adapt, and build upon.