A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

These projects were part of the course Data Analysis (ECE Department, AUTH, 7th semester).

Exercise solution to the Probability Theory course

Topics: Normal distribution, Functions of Random Variables

Solutions for the basic statictics problems

Tool for generating random variables that follows given frequency distibution using linear regressions in given intervals.

Implementation of the projects for the DSC 530: Probability and Statistics for Data Science course, of the MSc in Data Science programme of the University of Cyprus.

Simple tool for estimating frequencies of random variables.

E1 222 Stochastic Models and Applications, IISc

Assignment Advance Stats

SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project

Coursework, homework solutions, and notes for STAT 51600: Basic Probability and Applications (Fall 2025, Purdue University). Topics include probability laws, random variables, discrete and continuous distributions, expectation and variance, multivariate densities, dependence, conditional distributions, covariance and correlation, and the CLT.

Intuitive Probability API in Python

For studying MMCS, defined special probability distributions as classes. Also renders example graphs.

All major algorithms for Random Variables generation from Gamma Distribution.

Forth defining words for random variables.