Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.

Ultimate resource for solving aptitude questions from the basics. Whether you're preparing for exams, interviews, or simply want to enhance your problem-solving abilities, this repository has you covered.

A probabilistic programing library empowered with jax to speed up large simulations (still in progress!)

Try to compress incompressible data

In this project I've used Monte Carlo simulation to generate random numbers. For this I used PARK MILLER algorithm & SCHRAGE algorithm

Representation of Simple Random Walk in Probability theory.

Implemented from scratch a sampling method to draw samples from a multivariate Normal (MVN) distribution in JAX.

Implementation of self-organizing maps for mesh generation

The old Fortran style C# coding repo for calculating probablities of superheavy nuclej alpha decay

Exploration of statistical probability distributions using the Central Limit Theorem in R. Random variable generation using functions of random variables.

Animate Bivariate Normal Distribution using JAX and Matplotlib and making it interactive using ipywidgets.

In this project, we have done a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. The data for this project was scraped from the Google Play website.

PM course on Gdansk University of Technology