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README.md
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art_chatbot
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==============================
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A short description of the project.
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Project Organization
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------------
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βββ LICENSE
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βββ Makefile <- Makefile with commands like `make data` or `make train`
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βββ README.md <- The top-level README for developers using this project.
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βββ data
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βΒ Β βββ external <- Data from third party sources.
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βΒ Β βββ interim <- Intermediate data that has been transformed.
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βΒ Β βββ processed <- The final, canonical data sets for modeling.
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βΒ Β βββ raw <- The original, immutable data dump.
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β
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βββ docs <- A default Sphinx project; see sphinx-doc.org for details
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β
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βββ models <- Trained and serialized models, model predictions, or model summaries
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β
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βββ notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
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β the creator's initials, and a short `-` delimited description, e.g.
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β `1.0-jqp-initial-data-exploration`.
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β
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βββ references <- Data dictionaries, manuals, and all other explanatory materials.
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β
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βββ reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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βΒ Β βββ figures <- Generated graphics and figures to be used in reporting
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β
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βββ requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
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β generated with `pip freeze > requirements.txt`
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β
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βββ setup.py <- makes project pip installable (pip install -e .) so src can be imported
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βββ src <- Source code for use in this project.
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βΒ Β βββ __init__.py <- Makes src a Python module
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β β
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βΒ Β βββ data <- Scripts to download or generate data
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βΒ Β βΒ Β βββ make_dataset.py
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β β
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βΒ Β βββ features <- Scripts to turn raw data into features for modeling
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βΒ Β βΒ Β βββ build_features.py
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β β
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βΒ Β βββ models <- Scripts to train models and then use trained models to make
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β β β predictions
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βΒ Β βΒ Β βββ predict_model.py
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βΒ Β βΒ Β βββ train_model.py
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β β
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βΒ Β βββ visualization <- Scripts to create exploratory and results oriented visualizations
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βΒ Β βββ visualize.py
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β
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βββ tox.ini <- tox file with settings for running tox; see tox.readthedocs.io
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--------
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<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
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