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Repo for end-to-end deep learning liveproject for Manning Publications.

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ryanmark1867/end_to_end_deep_learning_liveproject

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end_to_end_deep_learning_liveproject

Directory structure

  • data - processed datasets and pickle files for intermediate datasets
  • models - saved trained models
  • notebooks - code
  • help - versions of code with only comments and function signatures
  • pipelines - pickled pipeline files

To exercise the code

  • Copy Airbnb NYC dataset to data directory in cloned repo
  • Run data_cleanup.ipynb notebook with appropriate config settings
  • Run model_training.ipynb notebook on output of data_cleanup notebook with appropriate config settings
  • Run flask_server.py module with appropriate config settings

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Repo for end-to-end deep learning liveproject for Manning Publications.

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