Algorithm is a library of tools that is used to create intelligent applications.

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

Outlier detection for categorical data

A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems

Exercise solution to the Probability Theory course

This group project observed the impact of different student demographic variables such as parental education level, lunch option, ethnicity, gender and others on student's academic performance. The tools utilized were regression and conditional probability. R and Excel were used for these methodologies.

Monty Hall Problem Game

All the code, PDFs and LaTeX source from the UK Winning M3 Challenge 2022 team from Watford Boys Grammar School (15440).

This repository is dedicated to providing a comprehensive learning path for mastering statistics in the field of data science

conditional probability density functional theory with examples

Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.

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

A computational model simulating human-robot interaction.

3 machine learning projects

Probability calculations using lottery data.

Fundamentals of Biometric Systems Design Assignments

Analysing the dataset from California DMV to find out leading causes of disengagements in AVs.

probability_based_game_simulation

calculating causal relationship between independent and dependent variables

Customer Profiling for AeroFit Treadmill Products: Unveiling Target Audience Characteristics