├── .build-bot.json ├── .gitignore ├── .test.sh ├── .travis.yml ├── CONTRIBUTING.md ├── Hello World.ipynb ├── LICENSE.txt ├── README.md ├── Readme.ipynb ├── intro ├── Introduction to Notebooks.ipynb ├── Introduction to Python.ipynb └── Using Datalab - Accessing Cloud Data.ipynb ├── samples ├── Anomaly Detection in HTTP Logs.ipynb ├── Conversion Analysis with Google Analytics Data.ipynb ├── Exploring Genomics Data.ipynb ├── ML Toolbox │ ├── Classification │ │ └── Iris │ │ │ └── 1 Local End to End.ipynb │ ├── Image Classification │ │ ├── Coast │ │ │ ├── Local End to End.ipynb │ │ │ ├── Service End to End.ipynb │ │ │ └── Setup.ipynb │ │ └── Flower │ │ │ ├── Local End to End.ipynb │ │ │ └── Service End to End.ipynb │ └── Regression │ │ └── Census │ │ ├── 0 Readme and Setup.ipynb │ │ ├── 1 Local End to End.ipynb │ │ ├── 2 Service Preprocess.ipynb │ │ ├── 3 Service Train.ipynb │ │ ├── 4 Service Evaluate.ipynb │ │ ├── 5 Service Predict.ipynb │ │ └── 6 Cleanup.ipynb ├── Programming Language Correlation.ipynb ├── TensorFlow │ ├── Basic RNN TensorFlow Model Trained on Simulated Data.ipynb │ ├── Image-to-Captions Model with TensorFlow.ipynb │ ├── LSTM Punctuation Model With TensorFlow.ipynb │ ├── Machine Learning with Financial Data.ipynb │ └── Text Classification with TensorFlow.ipynb └── contrib │ ├── README.txt │ ├── mlworkbench │ ├── image_classification_flower │ │ ├── Flower Classification (large dataset experience).ipynb │ │ └── Flower Classification (small dataset experience).ipynb │ ├── structured_data_classification_police │ │ └── Predict Case Resolution (small data experience).ipynb │ ├── structured_data_regression_taxi │ │ ├── Taxi Fare Model (full data).ipynb │ │ └── Taxi Fare Model (small data).ipynb │ └── text_classification_20newsgroup │ │ ├── Text Classification --- 20NewsGroup (large data).ipynb │ │ └── Text Classification --- 20NewsGroup (small data).ipynb │ └── pipeline │ ├── Airflow Setup.ipynb │ └── BigQuery Pipeline.ipynb └── tutorials ├── BigQuery ├── BigQuery APIs.ipynb ├── BigQuery Commands.ipynb ├── BigQuery Magic Commands and DML.ipynb ├── BigQuery Parameterization.ipynb ├── Hello BigQuery.ipynb ├── Importing and Exporting Data.ipynb ├── SQL Query Composition.ipynb ├── SQL and Pandas DataFrames.ipynb ├── UDF Testing in the Notebook.ipynb ├── UDFs in BigQuery.ipynb ├── UDFs using Code in Cloud Storage.ipynb └── Using External Tables from BigQuery.ipynb ├── Data └── Interactive Charts with Google Charting APIs.ipynb ├── Stackdriver Monitoring ├── Getting started.ipynb ├── Group metrics.ipynb └── Time-shifted data.ipynb └── Storage ├── Storage APIs.ipynb └── Storage Commands.ipynb /.build-bot.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/googledatalab/notebooks/HEAD/.build-bot.json -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | 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