furrer-lab/abn

Bayesian network analysis in R

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JuliaData/CategoricalArrays.jl

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

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fakework16/Car_price_prediction_ML

Predict car prices with our Machine Learning model. Input features like brand and year for accurate predictions. Explore the project on GitHub! 🐙

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simomarsili/ndd

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

Language: Python - Size: 1.9 MB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 52 - Forks: 4

Murembi/R_Programming

R programming scripts for statistical data analysis and visualization. Includes data cleaning, descriptive statistics, hypothesis testing (t-tests, ANOVA), correlation, regression modeling, and visualizations using ggplot2 and tidyverse.

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CarwilB/transcats

Translating Categorical Data in R Using Custom Translation Tables

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Quantco/tabmat

Efficient matrix representations for working with tabular data

Language: Python - Size: 12.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 123 - Forks: 7

LamNgo1/moca-hesp

[ECAI' 25]: MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning

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const-ae/mixdir

Cluster high dimensional categorical datasets

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CNelias/CategoricalTimeSeries.jl

Toolbox for categorical time-series analysis.

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Bankofamerica87/C_Arrays

Explore C programming exercises on arrays, including summation, frequency analysis, and unique element extraction. Perfect for enhancing your coding skills! 🚀💻

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alissysays/komstat_projek

Projek Mata Kuliah Komputasi Statistik Semester 122 - Statistika 2023A

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helske/seqHMM

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

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rom1mouret/catclustering

Rust crate for clustering categorical data

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cjunwon/ODAQ-SDA

Applying Categorical Exploratory Data Analysis (CEDA) methods to study audio quality perception

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pegeler/samplesizeCMH

Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test

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Francis-Calingo/CATEGORICAL-SOCIOECONOMIC-DATA-ANALYSIS-OF-CANADIAN-REGIONS

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kvitK1/ML-Driven-Clustering-of-Onboarding-Users-Strategies-for-Enhanced-Conversion

Bachelor thesis is submitted in fulfilment of the requirements for the Bachelor of Science degree in the Department of Business Analytics and Information Technologies at the Faculty of Applied Sciences of Ukrainian Catholic University.

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koalaverse/sure

Surrogate residuals for cumulative link and general regression models in R

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fs23yayan/KonversiKategorikalDataLabelEncoder

Konversi Kategorikal Data dengan Label Encoder for Data Science in Marketing : Customer Segmentation with Python - Part 1

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fs23yayan/EksplorasiDataKategorikal

Eksplorasi Data Kategorikal for Data Science in Marketing : Customer Segmentation with Python - Part 1

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EfthymiosCosta/SONO

The SONO (Scores Of Nominal Outlyingness) R package includes functions that can be used for detecting outliers in data sets consisting of nominal variables.

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f8l5h9/spqdep

Testing for Spatial Structure of Qualitative Data in Cross Section

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vasturiano/proportions-chart

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

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entron/entity-embedding-rossmann

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yash-gajjjar/post-HCT-Survival-Predictions

Improve prediction of transplant survival rates equitably for allogeneic HCT patients

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alejandroh3005/categorical-epidemiology

Course repository for BIOST 536: Categorical Data Analysis In Epidemiology (Autumn 2024) with Dr. Katie Kerr and Dr. Pamela Shaw

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dkaslovsky/Coupled-Biased-Random-Walks

Outlier detection for categorical data

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aerdem4/mercari-price-suggestion

Solution to Kaggle's Mercari Price Suggestion Competition

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modal-inria/cfda

Categorical Functional Data Analysis

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remykarem/mixed-naive-bayes

Naive Bayes with support for categorical and continuous data

Language: Python - Size: 167 KB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 68 - Forks: 7

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.

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igor-240340/CLOPEClusteringAlgorithm

C++ test assignment on implementation of CLOPE clustering algorithm

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ejikeugba/serp

Smooth Effects on Response Penalty for CLM

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c4pub/deodel

A mixed attributes predictive algorithm implemented in Python.

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hclifton21/BinaryCategoricalAnalysis-AcademicPerformance

Categorical Data Analysis of Depression’s Influence on Academic Performance

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CyprienGille/Diagnostic-SAE-GUI

A supervised autoencoder and its GUI for cost-less thyroid nodule prognosis.

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friendly/psy6136

Psychology 6136: Categorical Data Analysis

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gzt/catsim

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

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98MM/msc_cc

MSC Project - Artifical Categorical Datasets

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Fiza-102/AIRLINE-FLIGHT-FARE-PREDICTION

This model predicts the fare of flight on the basis of old records . In the process of completing this project - data cleaning, data processing , balancing the data and converting the categorical data into numerical data.

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CNelias/SpectralEnvelope.jl

Method to study the cyclic and spectral properties of categorical time-series.

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god3krutzsch/Machine-Learning-house-price-regression

Using ML to predict house price

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AshNumpy/Categorical-Data-Analysis-Term-Paper

IST470 Categorical data analysis term paper.

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rodrigobressan/entity_embeddings_categorical

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

Language: Python - Size: 6.56 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 70 - Forks: 19

god3krutzsch/Machine-learning-supervised-classification-Titanic-

using ML to predict who lives and dies in titantic disaster

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nmtoan91/lshkrepresentatives

Categorial and numerical (ordinal and nonordinal) Data Clustering Algorithm

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canbax/cs551-project 📦

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sebastian-raubach/humbug

Humbug is a multi-platform barcode generator which can be used alongside our Germinate Scan application to generate sheets of user-defined barcodes to aid in the recording of data in the field or glasshouse.

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rafah91/life-expectancy-data-processing

Life expectancy data processing

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Benazir023/Winning_jeopardy

We’ll work with a dataset of Jeopardy questions to figure out some patterns in the questions that could help one win.

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PayThePizzo/Predictive-Analysis-Notes 📦

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

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lukiwieser/mixed-naive-bayes

Naive Bayes Classifier for categorical and/or numeric features.

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debnathk/Hepatitis-C-Prediction

This repository contains the project of Hepatitis C Prediction by Machine Learning.

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Sarvandani/Machine_Learning_Clustering-dimensionalredcut_categorial_Client_response

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nmtoan91/fkcenters

FuzzykCenters algorithms for fuzzy clustering categorical data

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DrCohomology/EncoderBenchmarking

Repository of the paper "A benchmark of categorical encoders for binary classification".

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dkn22/embedder

Embed categorical variables via neural networks.

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nickwawee/Suicide_Rates_Regression_Analysis

This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015

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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).

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north0n-FI/House-Prices-Advanced-Regression-Techniques

This is my contribution to a competition on kaggle.com, where you have a dataset with 79 explanatory variables describing (almost) every aspect of c. 1500 residential homes in Ames, Iowa. The aim is to predict the final price of each home.

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ldsands/logit.jl

Julia implementation of logistic regression package loosely based upon SPost13 for Stata by J. Scott Long PhD at Indiana University

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PalTAJ/Federated_Learning_Exploration

Exploring Federated Learning with TensorFlow, torch and Pysyft

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atharvapathak/The_Battle_of_Neighborhoods_Capstone_Project

The Battle of Neighborhoods Capstone Project for the IBM Professional Certificate on Coursera.

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Mwadz/Machine-Learning-Essentials

This is me learning how to quickly improve the quality of my models.

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a-paxton/plotting-coupled-data

Visualize coupled categorical and continuous variables in a single plot (e.g., movement and speech state)

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noernimat/modeling_dataset_using_supervised_learning

Machine Learning Models for Absenteeism at Work Dataset

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csiro-robotics/MDL

🔥[IEEE TPAMI 2023] Official repository TPAMI 2023 paper "Exploiting Field Dependencies for Learning on Categorical Data"

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mx-eyebrows/Categorical-Analysis

Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)

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Moataz-Elmesmary/Car-Prices-Prediction-using-ML-Full-Project-

Data science & ML

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MEGARAJAN-S/ARTIFICIALNEURALNETWORK

This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.

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isadrtdinov/bootcamp-idao-2022

IDAO 2022: Machine Learning Bootcamp

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SCK22/UrbanSoundClassification

Classifying daily sounds

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Pevicsanch/label_encoding

Dealing with categorial data: CATCODE simple fuction to label encoding with Excel

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Darshan0902/Visualizing-a-Categorical-and-a-Quantitative-Variable

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hharcolezi/OpenMSFIMU

An open dataset of human mobility.

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pat42w/Richters_predictor

Workings for my entry for the competition https://www.drivendata.org/competitions/57/nepal-earthquake/

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zovialpapai/PolyGibbs

PolyGibbs: Bayesian Analysis of Binary & Polychotomous Response Data

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Varun-N-M/Loan_approval_prediction_ML_model

The convenient loan experience, however, has to be balanced against the fact that the company does charge an origination fee. This is a case study for a company that wants a model developed which will help the agents to visit the right customer looking at the prediction that the model would make depending on the given data fields.

Language: Python - Size: 1.97 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

peymanrasouli/categorical_locality

Interpreting Categorical Data Classifiers using Explanation-based Locality

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alescrnjar/SalientFeat

Interpretable Deep Classification of Categorical Data

Language: Python - Size: 489 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Gandhasiri-Rahul-Mohan/Naive-Bayes-Salary-Data

Prepare a classification model using Naive Bayes for salary data

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mlindsk/molic

Multivariate Outlierdetection In Contingency Tables

Language: R - Size: 14.1 MB - Last synced at: about 12 hours ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 6

Cbhihe/Multivariate-analysis

Multivariate analysis (MVA) of high dimensional heterogeneous data

Language: R - Size: 8.56 MB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

lmizner/codecademy_auto_evaluation

Summarized categorical variables in Python using numerical summary statistics.

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UzunDemir/Visualization-of-categorical-variables

Visualization of categorical variables Визуализация категориальных переменных

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guevara-erik/Wolrldwide-Suicide-Rates-Bivariate-Analysis

Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.

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chandraseta/gan-on-structured-data

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

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CNelias/SerialDependence.jl

Julia module containing standard methods from categorical time-series analysis.

Language: Julia - Size: 67.4 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

xuhongzuo/OUVAS-RHAC

Outlier detection method RHAC for categorical data published in CIKM18

Language: Java - Size: 4.26 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

xuhongzuo/SelectVC-POP

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

Language: Java - Size: 4.2 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

AnveshaM/Suicide_Prediction_in_India

Suicides in India 2019: A Case Study on the impact of the societal constructs on Mental Health

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sudhan-bhattarai/Recurrent_Neural_Network_Natural_Language_Processing

Recurrent Neural Network to model Natural Language data with categorical output. Application: predicting side effects and effectiveness of a drug from user review data.

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NabilahSharfina/Ruangguru-Bootcamp

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2

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raynardj/category

Category transformation

Language: Python - Size: 32.2 KB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

EGjika/Climate-Change-Ottawa-Shiny-App

This is a Shiny App created with the data of climacteric stations in Ottawa, Canada. It helps understand the time series of data recorded and obtain final predictions from some statistical models. Correlation as well can be achieved based also on monthly categories.

Language: R - Size: 705 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

thecml/neural_embedder

A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.

Language: Python - Size: 81.1 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nani757/cca-mean-mode-arbitary-value-end-of-distribution-missing-data-

complete case analysis drops the whole column if there are missing values, arbitrary value imputation in this we can use replace (mean or median) with -1 or 99.999, end of the distribution it replaces the values with "missing" term

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newtonsgrandson/titanic-prediction

Kaggle Titanic Competition

Language: Python - Size: 57.6 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

albertopessia/Kpax3.jl

Bayesian bi-clustering of categorical data

Language: Julia - Size: 530 KB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 7