A simple parameter reconstruction workflow using well-established machine learning algorithms and neural networks. The workflow is implemented and explained step-by-step in a Jupyter notebook.

🎨 Personal data visualization toolkit generating synthetic datasets across multiple domains (random walks, dice simulations, weather patterns, earthquakes, GitHub analytics) with beautiful Matplotlib & Plotly visualizations. Includes Jupyter notebooks, interactive dashboards & statistical analysis. Perfect for learning data science! 🚀📊