OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

No-code Machine learning (Pre-alpha)

Automated R-Shiny based UI platform to create and deploy a XGBoost model on ANY dataset. Additionally it also includes black box interpretation techniques such as PDP, ALE Plots, permutation importance.

Neste projeto de Análise de Recursos Humanos, temos como objetivo responder questões-chave sobre gestão de talentos e rotatividade de colaboradores em uma empresa fictícia.