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Machine Learning Development Template

It contains the following folders and files:

  • data: This folder contains the data to be used for training and testing the model.
  • models: This folder contains the trained models, once the training is complete. Note that this folder is initially empty.
  • src: This folder contains the source code (notebooks and python files) for data preparation, EDA, training, and testing. Sub-folders e.g. src/data, src/models, src/notebooks can be created to organize the source code.
  • .gitignore: This file contains the list of files and folders to be ignored by git.
  • .style.yapf: This file contains the style settings for the YAPF formatter.
  • requirements.txt: This file contains the list of Python libraries required by the project.
  • README.md: This file contains the description of the project.

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