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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 | |
| ``` |