automl (pypi): Automated machine learning for production and analytics
Keywords: machine learning|data science|automated machine learning|regressor|regressors|regression|classification|classifiers|classifier|estimators|predictors|XGBoost|Random Forest|sklearn|scikit-learn|analytics|analysts|coefficients|feature importancesanalytics|artificial intelligence|subpredictors|ensembling|stacking|blending|feature engineering|feature extraction|feature selection|production|pandas|dataframes|machinejs|deep learning|tensorflow|deeplearning|lightgbm|gradient boosting|gbm|keras|production ready|test coverage|artificial-intelligence|automated-machine-learning|automl|data-science|deep-learning|feature-engineering|gradient-boosting|hyperparameter-optimization|machine-learning|machine-learning-library|machine-learning-pipelines|production-ready|python|xgboost