├── LICENSE ├── README.md ├── _config.yml ├── apachespark └── README.md ├── conferences ├── README.md ├── images │ └── mlflow_pydata_miami.png └── pydata │ ├── pydata_miami │ ├── PyDataMiami.dbc │ └── slides │ │ └── PySparkStructuredStreaming_FINAL.pdf │ └── pydata_sf │ └── PyBay2019.dbc ├── databricks └── README.md ├── delta-lake └── README.md ├── images ├── tutorial_welcome_page.jpg └── tutorial_welcome_page.png ├── koalas └── README.md └── mlflow ├── README.md ├── extras ├── boston_housing_tensorflow.py ├── keras_minst.py ├── keras_mnist_lab_5.py ├── lab_classes.py ├── lab_utils.py ├── load_predict_deploy_model_ans_lab_6.py ├── mlflow_example_wine.py ├── mlflow_object.py ├── mlruns │ └── 0 │ │ └── meta.yaml └── plot_confusion_matrix.py ├── images ├── bank_note.png ├── fake_note.jpeg ├── intro_slide.png ├── mlflow_project.png ├── mlproject_file.png ├── mnist_1layer.png ├── nn_linear_regression.png └── pyfunc_models.png ├── labs ├── 00_get_started.py ├── 01_petrol_regression_lab.py ├── 02_banknote_classification_lab.py ├── 03_airbnb_base_lab.py ├── 04_airbnb_exp_lab.py ├── 05_tf_keras_mnist_lab.py ├── 06_load_predict_model_lab.py ├── 07_tensorflow_keras_petrol_regression.py ├── 09_register_model_apis.py ├── __init__.py ├── data │ ├── airbnb-cleaned-mlflow.csv │ ├── bill_authentication.csv │ ├── petrol_consumption.csv │ ├── test_bill_authentication.csv │ ├── test_petrol_consumption.csv │ ├── windfarm_data.csv │ └── wine-quality.csv ├── experiment_ce.py └── lab_cls │ ├── __init__.py │ ├── keras_model.py │ ├── lab_utils.py │ ├── rfc_model.py │ ├── rfr_base_exp_model.py │ ├── rfr_model.py │ └── tf_keras_model.py ├── notebooks └── databricks │ └── MLflowConferenceTutorials.dbc ├── req.txt ├── slides ├── mlflow-ODSC_FINAL.pdf └── mlflow-strataNY_FINAL.pdf └── solutions ├── 01_lab.py ├── 02_lab.py ├── 03_lab.py ├── 04_lab.py ├── 05_lab.py ├── 06_lab.py ├── 08_lab.py ├── __init__.py ├── data ├── airbnb-cleaned-mlflow.csv ├── bill_authentication.csv ├── 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