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Job Placement

Project Organization

β”œβ”€β”€ README.md          <- The top-level README for developers using this project.
β”œβ”€β”€ data
β”‚Β Β  β”œβ”€β”€ external       <- Data from third party sources.
β”‚Β Β  β”œβ”€β”€ interim        <- Intermediate data that has been transformed.
β”‚Β Β  β”œβ”€β”€ processed      <- The final, canonical data sets for modeling.
β”‚Β Β  └── raw            <- The original, immutable data dump.
β”‚
β”œβ”€β”€ docs               <- A default Sphinx project; see sphinx-doc.org for details
β”‚
β”œβ”€β”€ models             <- Trained and serialized models, model predictions, or model summaries
β”‚
β”œβ”€β”€ notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
β”‚                         the creator's initials, and a short `-` delimited description, e.g.
β”‚                         `1.0-jqp-initial-data-exploration`.
β”‚ 
β”œβ”€β”€ requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
β”‚                         generated with `pip freeze > requirements.txt`
β”‚
β”œβ”€β”€ src                <- Source code for use in this project.
β”‚Β Β  β”œβ”€β”€ __init__.py    <- Makes src a Python module
β”‚   β”‚
β”‚Β Β  β”œβ”€β”€ data           <- Scripts to download or generate data
β”‚Β Β  β”‚Β Β   └── source   
β”‚Β Β  β”‚Β Β      └── make_dataset.py
β”‚   β”‚
β”‚Β Β  β”œβ”€β”€ features       <- Scripts to turn raw data into features for modeling
β”‚Β Β  β”‚Β Β  └── build_features.py
β”‚   β”‚
β”‚Β Β  β”œβ”€β”€ mocks         <- Scripts to create a fake data set for testing
β”‚Β Β  β”‚Β Β  └── fake_model.py
β”‚Β Β  β”‚
β”‚Β Β  β”œβ”€β”€ models         <- Scripts to save the data model of the database
β”‚Β Β  β”‚Β Β  └── database_model.py
β”‚Β Β  β”‚
β”‚Β Β  β”œβ”€β”€ utils         <- Scripts to used in multiples modules
β”‚   β”‚   └── connect_to_database.py
β”‚   β”‚
β”‚Β Β  └── visualization  <- Scripts to create exploratory and results oriented visualizations
β”‚Β Β      └── visualize.py
β”‚