Ecosyste.ms: Packages

scikit-learn 9 sklearn 8 machine learning 8 tensorflow 6 artificial intelligence 6 regression 6 pandas 6 dataframes 5 production 5 feature selection 5 feature extraction 5 data science 5 automated machine learning 5 regressor 5 regressors 5 classification 5 classifiers 5 classifier 5 predictors 5 XGBoost 5 Random Forest 5 analytics 5 analysts 5 ensembling 5 feature engineering 5 deep learning 5 deeplearning 5 lightgbm 5 machine-learning 5 gradient boosting 5 gbm 5 keras 5 production ready 5 feature importancesanalytics 4 python 4 subpredictors 4 coefficients 4 stacking 4 blending 4 test coverage 4 machinejs 4 data-science 3 production-ready 2 xgboost 2 predict-methods 2 machine-learning-pipelines 2 machine-learning-library 2 hyperparameter-optimization 2 gradient-boosting 2 feature-engineering 2 deep-learning 2 automl 2 automated-machine-learning 2 artificial-intelligence 2 models 2 ml 2 tensorflow2 1 feature importances 1 darvis-ai 1 darvis-research 1 tensorflow-estimators 1 tensorflow-datasets 1 datasets 1 word embeddings 1 word2vec 1 reserving 1 chainladder 1 actuary 1 actuarial 1 joblib 1 objects 1 pickle 1 export 1 serialization 1 version control 1 django 1 workflow 1 evaluation 1 repository 1 track 1 storage 1 persist 1 benchmark 1 versioning 1 version 1 ai 1 sequences 1 least-squares 1 gaussian-elimination 1 cpp 1 cmake 1 interquartile range 1 Student T-distribution 1 Q-estimator 1 S-estimator 1 statistics 1 Levenberg-Marquardt algorithm 1 non-linear regression 1 simple linear regression 1 repeated median regression 1