Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems

Topics in Probability Theory and Stochastic Processes

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 1-5), covering foundational concepts in probability and distribution theory. Topics include random variables, probability distributions, expectation, and limit theorems, essential for applications in machine learning, AI, and robotics.

A stokhazesthai (stochastic) process, also called a random process, is one in which outcomes are uncertain (MAT 455, ISU).

Using matplotlib and seaborn to graph the probabilities of the faces of a die in a specified number of rolls.

This repository contains various probability and statistics demonstrations, showcasing key concepts in statistical analysis, probability distributions, and theorems. The projects include simulations, visualizations, and statistical analysis using Python libraries like NumPy, SciPy, Matplotlib, and Seaborn.

Student project based on combinatorial aspects of mathematics.

📶 Demonstrations of the Central Limit Theorem

Aplikasi Shiny untuk mendemonstrasikan Hukum Bilangan Besar.

A shiny application that illustrates the "Law of Large Numbers" for the "lambda" distribution

Se utiliza la Ley de los Grandes Números para aproximar integrales de funciones continuas en intervalos finitos.

A Statistical Data Analysis project from TripleTen

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

R code used to simulate data and generate plots for presentation slides on law of large numbers and central limit theorem

Central Limit Theorem and Law of Large Numbers. P&S 2nd Lab assignment

🎮 Here you can play with various Statistical Concepts.