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