Published inTowards Data ScienceFeature Preprocessor in Automated Machine LearningThe performance of an automated machine learning(AutoML) workflow depends on how we process and feed different types of variables to the…Oct 30, 2020Oct 30, 2020
Published inTowards Data ScienceBuild No-code Automated Machine Learning Model with OptimalFlow Web AppOptimalFlow added a Flask-based ‘no-code’ Web App as a GUI. Users could build Automated Machine Learning model all by clicks, without…Sep 18, 2020Sep 18, 2020
Published inTowards Data ScienceEnsemble Model Selection & Evaluation in Machine Learning by OptimalFlowModel selection is an essential step to create the baseline model in the machine learning workflow. This step usually is a time exhausting…Sep 7, 20201Sep 7, 20201
Published inTowards Data ScienceEnsemble Feature Selection in Machine Learning by OptimalFlowUse OptimalFlow’s autoFS module to implement ensemble feature selection, which simplifies this process easily.Sep 6, 20201Sep 6, 20201
Published inTowards Data ScienceEnd-to-end OptimalFlow Automated Machine Learning Tutorial with Real Projects — Formula E Laps…In the previous Part 1 of this tutorial, we discussed how to implement data engineering to prepare suitable datasets, feeding further…Sep 5, 2020Sep 5, 2020
Published inTowards Data ScienceEnd-to-end OptimalFlow Automated Machine Learning Tutorial with Real Projects — Formula E Laps…In this end-to-end tutorial, we will illustrate how to use OptimalFlow, an Omni-ensemble automated machine learning library to predict…Sep 5, 20201Sep 5, 20201
Published inTowards Data ScienceAn Omni-ensemble Automated Machine Learning — OptimalFlowOptimalFlow is a high-level API toolkit to help data scientists building models in an ensemble way, and automate Machine Learning workflow…Aug 13, 2020Aug 13, 2020
An Omni-ensembled Automatic Machine Learning — OptimalFlowOptimalFlow is a high-level API toolkit to help data scientists building models in ensemble way, and automate Machine Learning workflow…Aug 12, 2020Aug 12, 2020
