Skip to content

A comprehensive Python toolkit for probability analysis and statistical visualization, leveraging libraries like pandas, seaborn, matplotlib, numpy, and scipy to explore and interpret data.

Notifications You must be signed in to change notification settings

MON3EMPASHA/ProbabilityAnalysisToolkit

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

ProbabilityAnalysisToolkit

Introduction

The Probability Analysis Toolkit is a Python-based project designed for statisticians, data scientists, and anyone interested in exploring the nuances of probability and statistics. This toolkit facilitates a wide range of probability analysis tasks, from basic statistical computations to advanced data visualizations, making it an indispensable resource for academic research, data analysis projects, and statistical learning.

Features

  • Data Manipulation: Utilizes pandas for efficient data manipulation and analysis.
  • Visualization: Leverages seaborn and matplotlib for creating informative and attractive statistical visualizations.
  • Statistical Analysis: Employs numpy and scipy for a broad spectrum of statistical functions and probability calculations.

About

A comprehensive Python toolkit for probability analysis and statistical visualization, leveraging libraries like pandas, seaborn, matplotlib, numpy, and scipy to explore and interpret data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published