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# Setup
## Prerequisites
- Python 3.10+
- VS Code veya Jupyter destekli IDE
- Paket yöneticisi: pip
## Installation
### Create Virtual Environment
'''
python -m venv .venv'''
### Activate Environment
'''
# Windows
.venv\Scripts\activate
'''
'''
# Mac/Linux
source .venv/bin/activate
'''
### Install Dependencies
'''
pip install -r requirements.txt
'''
### Dependencies
**Core:**
- pandas, numpy, scikit-learn
**Visualization / Dev:**
- matplotlib, seaborn, plotly
- jupyter
## Project Structure
```
FinRisk-AI/
├── data/
│ ├── raw/ # Original datasets
│ ├── processed/ # Cleaned and transformed data
│ └── samples/ # Sample datasets for experiment
├── models/ # Saved models
├── notebooks/
│ ├── analysis/ # EDA, data exploration, visualizations
│ └── modeling/ # Baseline, feature engineering, model training
├── src/ # Source code for pipeline, inference, API
├── docs/ # Documentation
└── tests/ # Unit tests, validation scripts
``` |