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.

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

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

Student project based on combinatorial aspects of mathematics.

Aplikasi Shiny untuk mendemonstrasikan Hukum Bilangan Besar.

📶 Demonstrations of the Central Limit Theorem

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

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

A Statistical Data Analysis project from TripleTen

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

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

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

🎮 Here you can play with various Statistical Concepts.