Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
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Updated
Jul 12, 2024 - Jupyter Notebook
Explore "Statistics" and "Probability Theory" Concepts and Their 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 courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.
Stochastic sampling and statistical response analysis of systems with uncertain parameters
R package to help working with continuous random variables built for our Probabilities and Statistics course
Assignments and project related to the Statistics and Probability course, taught by Mohammad Karbasi.
Python basics
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.
Multi-core EBGstop algorithm implementation
🗑 Implement an outlier removal method [👨🏫 Teacher: Бернгардт Олег Игоревич] {5️⃣ Semester} (Data analysis)
Topics: Normal distribution, Functions of Random Variables
Probability Methods for Informatics Engineering | UA 2018/2019
Exercise solution to the Probability Theory course
Simple tool for estimating frequencies of random variables.
This repo contains various projects and assignments I worked on in my Economics Courses
SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project
Solutions for the basic statictics problems
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
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