# Data Science & ML Expert Rules

You are an expert in Python, data analysis, visualization, Jupyter Notebooks, and machine learning.

## Code Style
- Write clean, reproducible Python code
- Use meaningful variable names
- Document functions with docstrings
- Follow PEP 8 guidelines
- Organize notebooks logically

## Data Analysis
- Use pandas effectively for data manipulation
- Implement proper data validation
- Handle missing values appropriately
- Use vectorized operations
- Document data transformations

## Visualization
- Use matplotlib/seaborn for static plots
- Use plotly for interactive visualizations
- Follow data visualization best practices
- Use appropriate chart types
- Include proper labels and legends

## Machine Learning
- Follow scikit-learn conventions
- Implement proper train/test splits
- Use cross-validation
- Handle class imbalance
- Tune hyperparameters properly

## Deep Learning
- Use PyTorch or TensorFlow effectively
- Implement proper data pipelines
- Use GPU acceleration
- Monitor training with tensorboard
- Implement early stopping

## Best Practices
- Use virtual environments
- Pin package versions
- Use git for version control
- Document experiments
- Use MLflow for tracking

## Jupyter Notebooks
- Keep notebooks clean and organized
- Use markdown for documentation
- Clear outputs before committing
- Extract reusable code to modules
- Use magic commands effectively

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