Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

A database-like benchmark of feature generation from time-series data

This repository generates process mining event log features. Most of the features have been extracted from several process mining scientific papers. Please feel free to use these features in your process mining projects and contribute to the project, if you develop new ideas :)

Automated Data Preprocessing

Machine Learning predictive model to detect impersonation attacks

Implementation of the Radial Descriptor and two histograms: occurrence, and co-occurrence histograms.

🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦

Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models