├── .gitignore ├── AutoML ├── README.md └── src │ ├── python │ ├── automl_python │ │ └── auto_ml_python.py │ └── tpot │ │ ├── docs │ │ ├── api │ │ │ └── index.html │ │ ├── citing │ │ │ └── index.html │ │ ├── contributing │ │ │ └── index.html │ │ ├── css │ │ │ ├── highlight.css │ │ │ ├── theme.css │ │ │ └── theme_extra.css │ │ ├── examples │ │ │ └── index.html │ │ ├── fonts │ │ │ ├── fontawesome-webfont.eot │ │ │ ├── fontawesome-webfont.svg │ │ │ ├── fontawesome-webfont.ttf │ │ │ └── fontawesome-webfont.woff │ │ ├── img │ │ │ └── favicon.ico │ │ ├── index.html │ │ ├── installing │ │ │ └── index.html │ │ ├── js │ │ │ ├── highlight.pack.js │ │ │ ├── jquery-2.1.1.min.js │ │ │ ├── modernizr-2.8.3.min.js │ │ │ └── theme.js │ │ ├── mkdocs │ │ │ ├── js │ │ │ │ ├── lunr.min.js │ │ │ │ ├── mustache.min.js │ │ │ │ ├── require.js │ │ │ │ ├── search-results-template.mustache │ │ │ │ ├── search.js │ │ │ │ └── text.js │ │ │ └── search_index.json │ │ ├── releases │ │ │ └── index.html │ │ ├── search.html │ │ ├── sitemap.xml │ │ ├── support │ │ │ └── index.html │ │ └── using │ │ │ └── index.html │ │ └── tutorials │ │ ├── IRIS.ipynb │ │ ├── MAGIC Gamma Telescope │ │ ├── MAGIC Gamma Telescope Data.csv │ │ ├── MAGIC Gamma Telescope.ipynb │ │ └── tpot_MAGIC_Gamma_Telescope_pipeline.py │ │ ├── MNIST.ipynb │ │ ├── Portuguese Bank Marketing │ │ ├── Data_FinalProject.csv │ │ ├── Portuguese Bank Marketing Stratergy.ipynb │ │ └── tpot_marketing_pipeline.py │ │ ├── Titanic_Kaggle.ipynb │ │ ├── data │ │ ├── submission.csv │ │ ├── titanic_test.csv │ │ └── titanic_train.csv │ │ ├── tpot_iris_pipeline.py │ │ ├── tpot_mnist_pipeline.py │ │ └── tpot_titanic_pipeline.py │ └── r │ └── h2o-automl │ └── H20_AutoML_Example.R ├── README.md ├── ai-and-machine-learning-use-cases └── README.md ├── become-a-data-scientist └── README.md ├── deploy-ml-model-to-production └── README.md └── samples ├── README.md ├── SampleCodeInventory.xlsx ├── apache-spark-ml ├── README.md ├── ml_classification_titanic │ ├── spark_ml_classification_titanic.Rmd │ ├── spark_ml_classification_titanic.html │ ├── spark_ml_classification_titanic.nb.html │ └── titanic-parquet │ │ ├── ._SUCCESS.crc │ │ ├── .part-r-00000-69484ddd-e601-45e0-bea0-eb7b5b8b23eb.snappy.parquet.crc │ │ ├── _SUCCESS │ │ └── part-r-00000-69484ddd-e601-45e0-bea0-eb7b5b8b23eb.snappy.parquet ├── pdi-spark-submit │ └── pdi_spark_submit_example.kjb ├── python │ └── samples │ │ └── ml │ │ ├── random_forest_classifier_example.py │ │ └── sample_libsvm_data.txt ├── tests_pdi_ael_spark_engine │ └── test1.ktr └── titanic │ ├── .Rhistory │ ├── ml_titanic_pdi.ktr │ ├── spark_ml_classification_titanic.R │ ├── spark_ml_classification_titanic_pdi_test.R │ ├── spark_ml_classification_titanic_pdi_test2.R │ └── titanic-parquet │ ├── ._SUCCESS.crc │ ├── .part-r-00000-69484ddd-e601-45e0-bea0-eb7b5b8b23eb.snappy.parquet.crc │ ├── _SUCCESS │ └── part-r-00000-69484ddd-e601-45e0-bea0-eb7b5b8b23eb.snappy.parquet ├── python ├── README.md ├── facebook_forecast │ └── t_example_ml_python_facebook_prophet.ktr ├── hello_world │ ├── hello_world_python_example.ktr │ └── hello_world_python_example2.ktr ├── pdiPythonExample │ └── pdiPython │ │ ├── dt.sklearn │ │ ├── dt.sklearn_01.npy │ │ ├── dt.sklearn_02.npy │ │ ├── dt.sklearn_03.npy │ │ ├── iris.csv │ │ ├── pic1.png │ │ ├── pic2.png │ │ ├── pic3.png │ │ ├── pic4.png │ │ ├── pyTest1.ktr │ │ └── pyTest2.ktr ├── status_atribution_classification │ ├── test_model.ktr │ └── train_model.ktr ├── streaming_examples │ ├── python_streaming_pubnub.ktr │ ├── python_streaming_socket.ktr │ └── sensor_data_example │ │ ├── python_streaming_sensor_data.ipynb │ │ └── python_streaming_socket.ktr └── tensorflow_example │ ├── t_tensorflow_example.ktr │ └── tensorflow_install_python_ubuntu.PNG ├── r ├── README.md ├── code │ ├── ISOweek_example │ │ └── ISOweek_example.R │ ├── RWeka │ │ ├── RWeka.pdf │ │ └── RWeka_Playground.R │ ├── Shiny_Demo │ │ ├── Customer_Age_Income.csv │ │ └── app.R │ ├── Stock_App_Using_ShinyDashboard │ │ └── Stock_app_Using_ShinyDashboard.R │ ├── api_linkedin_example │ │ └── api_linkedin_example.R │ ├── api_stackr_example │ │ ├── images │ │ │ ├── api_stackr_example01.PNG │ │ │ ├── api_stackr_example02.PNG │ │ │ ├── api_stackr_example03.PNG │ │ │ ├── api_stackr_example04.PNG │ │ │ ├── api_stackr_example05.PNG │ │ │ └── api_stackr_example06.PNG │ │ ├── output_samples_ml_r_api_stackr.js │ │ ├── samples_ml_r_api_stackr.ktr │ │ ├── stackr_pdi.R │ │ ├── stackr_setup_install.R │ │ └── stackr_test.R │ ├── api_twitter_example │ │ ├── api_twitter_example_using_social_media_lab_package.R │ │ ├── api_twitter_example_using_social_media_lab_package.ktr │ │ ├── api_twitter_example_using_twitterR_package.R │ │ ├── api_twitter_example_using_twitterR_package.ktr │ │ ├── api_twitter_example_using_twitterR_package_try2.R │ │ └── output_samples_ml_r_api_twitter.js │ ├── api_using_google_maps_api_and_r │ │ ├── api_using_google_maps_api_and_r.R │ │ ├── images │ │ │ ├── api_using_google_maps_lat_lon01.PNG │ │ │ ├── api_using_google_maps_lat_lon02.PNG │ │ │ ├── api_using_google_maps_lat_lon03.PNG │ │ │ ├── api_using_google_maps_lat_lon04.PNG │ │ │ └── api_using_google_maps_lat_lon05.PNG │ │ ├── output_samples_ml_r_api_lat_lon_google_maps.js │ │ ├── samples_ml_r_api_get_lat_lon_using_google_maps.ktr │ │ └── samples_ml_r_api_get_lat_lon_using_google_maps_parameters.ktr │ ├── api_weather │ │ └── r_api_weather_rwunderground.R │ ├── caret_examples │ │ ├── caret_example1.R │ │ ├── install_caret.R │ │ └── intro caret.zip │ ├── create_test_model │ │ ├── create_and_test_model.kjb │ │ ├── create_model.ktr │ │ ├── diamonds.rdata │ │ ├── diamonds.sql │ │ ├── diamonds_test.csv │ │ └── test_model.ktr │ ├── detecting_fraudulent_transactions │ │ ├── .Rhistory │ │ └── Chapter4.R │ ├── facebook_prophet_example │ │ ├── facebook_prophet_example.R │ │ └── t_facebook_prophet_example.ktr │ ├── forecast │ │ ├── AirPassengers_Example.R │ │ └── t_forecast_sample.ktr │ ├── h2o.ai_example │ │ └── t_h2o_example.ktr │ ├── housing_example │ │ └── housing_example.R │ ├── iris_dataset │ │ ├── sample_ml_iris.ktr │ │ └── sample_ml_iris_to_json.ktr │ ├── kaggle-competitions-examples │ │ └── t_kaggle_competition_santander_xbg_model01.ktr │ ├── rPython │ │ └── rPython_Playground.R │ ├── r_hadoop_example │ │ └── rwa │ │ │ ├── RWA Row Expander.xlsm │ │ │ ├── j_rwa_calculations.kjb │ │ │ ├── rwa_input.txt │ │ │ ├── t_rwa_calculations_RDBMS.ktr │ │ │ └── t_rwa_mapper.ktr │ └── reading_r_dataset_to_json │ │ ├── iris.df.output.js │ │ └── r_script_iris_dataset_output_example.ktr ├── extras │ ├── RPluginAdditions.zip │ └── create_test_model.zip ├── images │ ├── pdi_integration_with_r.PNG │ ├── pdi_integration_with_r10.PNG │ ├── pdi_integration_with_r2.PNG │ ├── pdi_integration_with_r3.PNG │ ├── pdi_integration_with_r4.PNG │ ├── pdi_integration_with_r5.PNG │ ├── pdi_integration_with_r6.PNG │ ├── pdi_integration_with_r7.PNG │ ├── pdi_integration_with_r8.PNG │ └── 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