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

Monty Hall Problem Game

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).

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

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.

conditional probability density functional theory with examples

A computational model simulating human-robot interaction.

calculating causal relationship between independent and dependent variables

Probability calculations using lottery data.

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

Simple sentiment analyzer that classifies tweets as either positive or negative.

A spam filter for SMS messages using the multinomial Naïve Bayes algorithm

This is a seminar paper that I wrote on the topic of conditional expectation as part of my measure-theoretic probability course.

Repository containing data and code for the ANLY511 (Probabilistic Modeling and Statistical Computing) final project.