A thesis submitted in partial fulfilment of the Applied Data Science Master's programme at Utrecht University.
├── README.md
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├── data <- Project data (available on request)
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
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├── output <- Model output, model predictions, or model summaries.
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├── notebooks <- Jupyter Notebooks.
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├── reports <- Generated report as PDF and doc. (available on request)
│ └── figures <- Generated graphics and figures to be used in reporting. (available on request)
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├── requirements.txt <- The requirements file for reproducing the analysis environment.
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└── src <- Source code for use in this project.
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├── data <- Scripts to download or generate data.
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├── features <- Scripts to turn raw data into features for modeling.
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└── models <- Scripts to train models and then use trained models to make
predictions.
Project organization based on the cookiecutter data science project template.