Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scikit-learn style API.

Repository of a data modeling and analysis tool based on Bayesian networks

ICDM19 - Anomaly Detection / Outlier Detection for Mixed data

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).

More Preformant Gower distance with modern Python tooling

IBM Employee Profiling using Clustering

A capstone project to predict the adoption-speed of listed pets

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.

Sentiment analysis using BERT on Hindi-English code-mixed data

A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.

Reading list of categorical/mixed data analysis

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).

Gower Distance for MATLAB. This repository contains MATLAB implementation of Gower distance calculation for mixed numerical and categorical datasets.