The performance of an automated machine learning(AutoML) workflow depends on how we process and feed different types of variables to the...
Tony Dong
OptimalFlow added a Flask-based 'no-code' Web App as a GUI. Users could build Automated Machine Learning model all by clicks, without...
Model selection is an essential step to create the baseline model in the machine learning workflow. This step usually is a time exhausting...
Use OptimalFlow's autoFS module to implement ensemble feature selection, which simplifies this process easily.
End-to-end OptimalFlow Automated Machine Learning Tutorial with Real Projects - Formula E Laps...
Machine LearningIn the previous Part 1 of this tutorial, we discussed how to implement data engineering to prepare suitable datasets, feeding further...
End-to-end OptimalFlow Automated Machine Learning Tutorial with Real Projects - Formula E Laps...
Machine LearningIn this end-to-end tutorial, we will illustrate how to use OptimalFlow, an Omni-ensemble automated machine learning library to predict...
OptimalFlow is a high-level API toolkit to help data scientists building models in an ensemble way, and automate Machine Learning workflow...