There are 1 repository under conditional-probability topic.
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
A computational model simulating human-robot interaction.
A stokhazesthai (stochastic) process, also called a random process, is one in which outcomes are uncertain (MAT 455, ISU).
Monty Hall Problem Game
conditional probability density functional theory with examples
Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.
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.
3 machine learning projects
Analysing the dataset from California DMV to find out leading causes of disengagements in AVs.
Conditional probability for the RTBM.
A simple example on how to analyze a text in python and generate your own text using bigrams
Repository containing data and code for the ANLY511 (Probabilistic Modeling and Statistical Computing) final project.
A very primitive type of recommender system
Various algorithms and data structures for educational purposes
This is a seminar paper that I wrote on the topic of conditional expectation as part of my measure-theoretic probability course.
Assigments done as part of coursework
calculating causal relationship between independent and dependent variables
Probability and Statistics - R Manual
Estimate conditional probabilities, compare data distributions, and perform data transformations to analyze employee absences
An Artificial Intelligence (CS485) lab based on a conditional probability exercise in fall 2023.
Simple sentiment analyzer that classifies tweets as either positive or negative.
Mathematics for Machine Learning and Data Science, course material and solution to the labs and assignments
Learned as a part of CS230 course
A spam filter for SMS messages using the multinomial Naïve Bayes algorithm
Business Case : Aerofit - Descriptive Stats & Probability