DS-Toolbox: Statistical & Modeling Toolkit
Overview A modular toolkit for data science workflows, providing reusable functions for statistical analysis, simulation, visualization, and machine learning. Technical Stack Languages: Python, R Libraries: NumPy, Pandas, scikit-learn, Matplotlib Documentation: Comprehensive examples on GitHub Features Statistical Analysis: Modular functions for common statistical operations Simulation Tools: Functions for data simulation and Monte Carlo methods Visualization: Easy-to-use plotting utilities ML Tools: Regression, classification, and clustering implementations for rapid prototyping Documentation: Comprehensive examples and use cases Use Cases Rapid prototyping of ML models Statistical analysis workflows Educational demonstrations Data exploration and visualization Links GitHub Repository