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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
