Machine Learning workflow with no code. Visual programming software for statistical graphics , visualization, preprocessing to deployable Machine learning models

Ver 1.0 supports Supervised learning classifications for binary , multilabel and multi class tasks on categorical and numerical data

workflows built upon functions out of scikit-learn, seaborn , pandas etc. 600+ parameters across Models, visualizations , preprocessing and other utilities sections

Statistical plotting functions built out of seaborn and Matplotlib clustering, relational, categorical, distribution and multi plots