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

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

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.

Harvard CS50AI portfolio: 12 completed AI projects earning the CS50AI Certificate. Covers search, logic, probability, optimization, ML, RL, computer vision, NLP, and transformer attention, with Nim, PageRank, and Attention enhanced into polished builds.

💬 Conditional Probability Clearly Explained

🧠 Implement Bayesian network inference in Python with exact and approximate algorithms for accurate probability estimation and performance analysis.

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

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).

conditional probability density functional theory with examples

3 machine learning projects

CRISIS-Management: Conditional Risk in Stormwater Infrastructure Systems — Resilient Management. This repository contains the codebase for the research paper: Scalable flood-risk analysis for New York State culvert infrastructure reveals patterns of dependence.

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

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

Probability and Statistics - R Manual

A computational model simulating human-robot interaction.