DSI_Capstone_3/file_plan.txt

├── LICENSE
│                         `make clean`
├── README.md          <- The top-level README for developers using this
│                         project.
├── data
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── models             <- Trained and serialized models, model predictions,
│                         or model summaries
│
├── notebooks          <- Jupyter notebooks
│
├── references         <- Data dictionaries, manuals, and all other
│                         explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│   └── metrics.txt    <- Relevant metrics after evaluating the model.
│   └── training_metrics.txt    <- Relevant metrics from training the model.
│
├── requirements.txt   <- The requirements file for reproducing the analysis
│                         environment, e.g. generated with `pip freeze >
│                         requirements.txt`
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- Scripts to download or generate data
│   │   └── make_dataset.py
│   │
│   ├── models         <- Scripts to train models and then use trained models
│   │   │                 to make predictions
│   │   ├── predict_model.py
│   │   └── train_model.py
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented
│       │                 visualizations
│       └── visualize.py
│
├── testing            <- test and troubleshooting logs
    └── logging.log