A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

Interactive ML Toolset

A Python framework for deploying recommendation models for form fields.

glmdisc Python package: discretization, factor level grouping, interaction discovery for logistic regression

A mixed attributes predictive algorithm implemented in Python.

Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.

Category transformation

A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

A python package to compute pairwise Euclidean distances on datasets with categorical features in little time

A lightweight library for encoding categorical features in your dataset with robust k-fold target statistics in training with credibility filtering, and custom statistics.

Data Analysis with Python project from freeCodeCamp (3 of 5)

Solution to Zalo AI Challenge 2019's Hit Song Prediction.

Encode Categorical Features based on Target/Class