Using data analysis and ML to understand and increase Instagram post interactions to help adopt out more cats.
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── 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.
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── figures <- Saved figures/visualizations e.g. graphs
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ installed with `pip install -r requirements.txt` and
│ updated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
│
├── src <- Source code for use in this project.
│
└── venv <- virtual environment
Project based on the cookiecutter data science project template. #cookiecutterdatascience