categorical-data
There are 131 repositories under categorical-data topic.
JuliaData/CategoricalArrays.jl
Arrays for working with categorical data (both nominal and ordinal)
Quantco/tabmat
Efficient matrix representations for working with tabular data
helske/seqHMM
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
rodrigobressan/entity_embeddings_categorical
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
remykarem/mixed-naive-bayes
Naive Bayes with support for categorical and continuous data
dkn22/embedder
Embed categorical variables via neural networks.
simomarsili/ndd
Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
dkaslovsky/Coupled-Biased-Random-Walks
Outlier detection for categorical data
aerdem4/mercari-price-suggestion
Solution to Kaggle's Mercari Price Suggestion Competition
isadrtdinov/bootcamp-idao-2022
IDAO 2022: Machine Learning Bootcamp
mcabinaya/Bank-Marketing-Data-Analysis
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
const-ae/mixdir
Cluster high dimensional categorical datasets
friendly/psy6136
Psychology 6136: Categorical Data Analysis
brad-cannell/freqtables
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.
koalaverse/sure
Surrogate residuals for cumulative link and general regression models in R
albertopessia/Kpax3.jl
Bayesian bi-clustering of categorical data
vasturiano/proportions-chart
A one-dimensional proportional chart web component for visualizing categorical data
chandraseta/gan-on-structured-data
Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network
CNelias/CategoricalTimeSeries.jl
Toolbox for categorical time-series analysis.
mlindsk/molic
Multivariate Outlierdetection In Contingency Tables
c4pub/deodel
A mixed attributes predictive algorithm implemented in Python.
furrer-lab/abn
Bayesian network analysis in R
gzt/catsim
A structural similarity index for binary or categorical images that works in 2D or 3D.
nmtoan91/lshkrepresentatives
Categorial and numerical (ordinal and nonordinal) Data Clustering Algorithm
PayThePizzo/Predictive-Analysis-Notes
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
xuhongzuo/SelectVC-POP
The source code of POP to detect outliers in high-dimensional categorical data published in CIKM17.
AshNumpy/Categorical-Data-Analysis-Term-Paper
IST470 Categorical data analysis term paper.
CNelias/SpectralEnvelope.jl
Method to study the cyclic and spectral properties of categorical time-series.
heroorkrishna/Incident-Impact-Prediction
Predicting the incidents raised by the customer
pegeler/samplesizeCMH
Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test
csiro-robotics/MDL
🔥[IEEE TPAMI 2023] Official repository TPAMI 2023 paper "Exploiting Field Dependencies for Learning on Categorical Data"
Moataz-Elmesmary/Car-Prices-Prediction-using-ML-Full-Project-
Data science & ML
raynardj/category
Category transformation
suva007/clustering
CONTAINS CLUSTERING ALGORITHMS
vaitybharati/P23.-EDA-1
EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).