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README.md
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@@ -10,9 +10,6 @@ Instructions
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1. *Optional:* Run `make virtualenv` to create a python virtual environment. Skip if using conda or some other env manager.
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1. Run `source env/bin/activate` to activate the virtualenv.
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1. Run `make requirements` to install required python packages.
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1. Put the raw data in `data/raw`.
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1. To save the raw data to the DVC cache, run `dvc commit raw_data.dvc`
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1. Edit the code files to your heart's desire.
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1. Process your data, train and evaluate your model using `dvc repro eval.dvc` or `make reproduce`
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1. When you're happy with the result, commit files (including .dvc files) to git.
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@@ -67,5 +64,3 @@ Project Organization
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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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1. *Optional:* Run `make virtualenv` to create a python virtual environment. Skip if using conda or some other env manager.
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1. Run `source env/bin/activate` to activate the virtualenv.
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1. Run `make requirements` to install required python packages.
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1. Process your data, train and evaluate your model using `dvc repro eval.dvc` or `make reproduce`
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1. When you're happy with the result, commit files (including .dvc files) to git.
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