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

Solution to Kaggle's Mercari Price Suggestion Competition

Clustering a university into whether it's a private or public university

A simplified algorithm to cluster mixed-type data(numerical and categorical).

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

Multivariate analysis (MVA) of high dimensional heterogeneous data

🎓 Tidy categorical tools for academics

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.

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

Outlier detection method RHAC for categorical data published in CIKM18

The source code of outlier detection method WOD for categorical data published in DEXA18.

Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion

Classifying daily sounds

This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.

Generic encoding of record types

An analysis of the office betting pool for the final season of Game of Thrones

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.

The project is to show complete exploration to understand the categorical data, technique of handing categorical variables and after it I will build a Machine Learning Model.

🌲 Decision Trees in scikit-learn with categorical and numerical data.