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Arrays for working with categorical data (both nominal and ordinal)

Efficient matrix representations for working with tabular data

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Naive Bayes with support for categorical and continuous data

Embed categorical variables via neural networks.

Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm

A fast, scalable, and intuitive Python package in sequence analysis.

Outlier detection for categorical data

Solution to Kaggle's Mercari Price Suggestion Competition

IDAO 2022: Machine Learning Bootcamp

Cluster high dimensional categorical datasets

Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data

Psychology 6136: Categorical Data Analysis

Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.

A one-dimensional proportional chart web component for visualizing categorical data

R package for visualising high-dimensional categorical data. Fully ggplot compatible implementation for the diceplot plotting library

Bayesian network analysis in R

Surrogate residuals for cumulative link and general regression models in R

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Bayesian bi-clustering of categorical data

A mixed attributes predictive algorithm implemented in Python.

Multivariate Outlierdetection In Contingency Tables

Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network

Categorial and numerical (ordinal and nonordinal) Data Clustering Algorithm

A structural similarity index for binary or categorical images that works in 2D or 3D.

Predicting the incidents raised by the customer

The source code of POP to detect outliers in high-dimensional categorical data published in CIKM17.

Course textbook for ST2137 Statistical Computing and Programming