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

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.

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

Assignment Advance Stats

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

All major algorithms for Random Variables generation from Gamma Distribution.

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

Forth defining words for random variables.

Probability Methods for Informatics Engineering (University of Aveiro)

Assignments and project related to the Statistics and Probability course, taught by Mohammad Karbasi.

Python basics

Probability Methods for Informatics Engineering | UA 2018/2019