There are 1 repository under mixed-data topic.
Model-based clustering package for mixed data
latentcor is a Python package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
A capstone project to predict the adoption-speed of listed pets
Sentiment analysis using BERT on Hindi-English code-mixed data
Causal discovery from mixed data with missing values.
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
IBM Employee Profiling using Clustering
Reading list of categorical/mixed data analysis
A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
Dynamic Web App allowing to perform clustering over mixed data.
This repository includes the R code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).
A simplified algorithm to cluster mixed-type data(numerical and categorical).