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Jupyter Notebooks from posts and ML/DL pipelines I've created

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LICENSE
LICENSE
 
 
Month-shampooSales.csv
Month-shampooSales.csv
 
 
Partial_Dependence_Plots_presentation-BrianGriner-PrincetonPublicLibrary-4.14.18-updated-4.22.18.ipynb
Partial_Dependence_Plots_presentation-BrianGriner-PrincetonPublicLibrary-4.14.18-updated-4.22.18.ipynb
 
 
Practical_ML_Scale_H2O_presentation-BrianGriner-NYC_Big_Data_Science-6.5.18-updated-6.7.18-FINAL.ipynb
Practical_ML_Scale_H2O_presentation-BrianGriner-NYC_Big_Data_Science-6.5.18-updated-6.7.18-FINAL.ipynb
 
 
README.md
README.md
 
 
TextAnalyzer_class_for_sentiment_analysis_Presidential_Address_example_BrianGriner_3.13.19.ipynb
TextAnalyzer_class_for_sentiment_analysis_Presidential_Address_example_BrianGriner_3.13.19.ipynb
 
 
TimeSeriesForecasting-LSTMs-Multivariate.ipynb
TimeSeriesForecasting-LSTMs-Multivariate.ipynb
 
 
TimeSeriesForecasting-LSTMs-Univariate&MultiStep-SensitivityAnalysis.ipynb
TimeSeriesForecasting-LSTMs-Univariate&MultiStep-SensitivityAnalysis.ipynb
 
 
TimeSeriesForecasting-LSTMs-Univariate&MultiStep.ipynb
TimeSeriesForecasting-LSTMs-Univariate&MultiStep.ipynb
 
 
TimeSeriesForecasting_using_LSTMs_presentation_Tigerlabs-4-1.6.18-ec2_demo.ipynb
TimeSeriesForecasting_using_LSTMs_presentation_Tigerlabs-4-1.6.18-ec2_demo.ipynb
 
 
TimeSeriesForecasting_using_LSTMs_presentation_Tigerlabs-4.6.18.ipynb
TimeSeriesForecasting_using_LSTMs_presentation_Tigerlabs-4.6.18.ipynb
 
 
Tuning_the_Beast-TimeSeriesForecasting_using_LSTMs-6.2018.ipynb
Tuning_the_Beast-TimeSeriesForecasting_using_LSTMs-6.2018.ipynb
 
 
decoding_health-DRAFT-1.30.18-MLP.ipynb
decoding_health-DRAFT-1.30.18-MLP.ipynb
 
 
decoding_health-DRAFT-1.30.18.ipynb
decoding_health-DRAFT-1.30.18.ipynb
 
 
decoding_health-risk-factors-pre-diabetes-ML-3.5.18.ipynb
decoding_health-risk-factors-pre-diabetes-ML-3.5.18.ipynb
 
 
experiment_stateful.csv
experiment_stateful.csv
 
 
insulin_skin_imp_data.csv
insulin_skin_imp_data.csv
 
 
ln_skin_ln_insulin_imp_data.csv
ln_skin_ln_insulin_imp_data.csv
 
 
mean_imp_data.csv
mean_imp_data.csv
 
 
melb_data.csv
melb_data.csv
 
 
multivariate_multistep_mlp_lstm_cnn_hyper_parameter_optimization_model_checkpoint_performance_on_test_8_16_19.ipynb
multivariate_multistep_mlp_lstm_cnn_hyper_parameter_optimization_model_checkpoint_performance_on_test_8_16_19.ipynb
 
 
pima-indians-diabetes.data.csv
pima-indians-diabetes.data.csv
 
 
skin_imp_data.csv
skin_imp_data.csv
 
 
skin_ln_imp_data.csv
skin_ln_imp_data.csv
 
 
titanic_train.csv
titanic_train.csv
 
 

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notebooks

Jupyter Notebooks from posts and ML/DL pipelines I've created

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Jupyter Notebooks from posts and ML/DL pipelines I've created

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