This project is developed in Python and it proposes the development of a Bayesan Network to infer the probabilities of serious floods in the territory of the Italian region Veneto.

A Bayesian Network to model the influence of energy consumption on greenhouse gases in Italy

Binary discrete variables bayesian network with variable elimination. It has the same interface as pgmpy

Heart Disease Risk Assessment using Bayesian Networks

A pgmpy tutorial focus on Bayesian Model

Build probabilistic model for AND dataset using pgmpy

This repository contains all the projects completed as part of the Pattern recognition course @ub.

A short introduction to probabilistic graphical models using jupyter slides

The objective of this study is to explore the impact of the structure of a Bayesian Network on its overall run-time, potential unwanted bias, and accuracy in performing a classification task. A credit card default dataset was utilised to construct six networks with varying structures and to learn their conditional probability distributions.

Using bayesian networks to aid the design of a drone. Mini project developed as part of the course of Fundamentals of AI and Knowledge Representation of University of Bologna.

Disini terlampir seluruh file notebook tugas akhir saya berkaitan dengan model prediksi Bayesian Network

Heart Disease Risk Assessment using Bayesian Networks

Bayesian Network aiming to help in endometriosis diagnosis.

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

API for explaining pgm

Pollen studies the relationships between weather conditions and pollen concentration with Bayesian Networks

Bayesian Network that encodes the relationships between diabetes, its risk factors, and its effects

I made this notebook while learning how to build a Bayesian network in Python.

Classification & Clustering on HARTH dataset

A code made for Artificial Intelligence classes to estimate the probability of the robot's localization.