Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

Machine learning and data analysis package implemented in JavaScript and its online demo.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Perform stability selection in matlab using a variety of feature selection methods

Feature selection in Spark

Prediction of naloxone dose in opioids toxicity based on machine learning techniques

Bilevel Optimization Selector of Operators

Feature Selection Library for Data Sciences in Python

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

EvalML is an AutoML library written in python.

IU Projects

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

This repository contains implemenations of various Data Exploration, Feature Cleaning, Feature Engineering and Feature Selection techniques.

Fast Best-Subset Selection Library

K-Means Clustering for the coping strategies of Brief COPE Questionnaire

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.

Awesome Domain Adaptation Python Toolbox