To compare social media conversations about how people talked about online learning before and after COVID-19.
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── 01_raw <- Data from third party sources.
│ ├── 02_intermediate <- Dataframes in transition from raw to the primary analytic dataframe.
│ ├── 03_primary <- Primary analytic dataframe after cleaning
│ ├── 04_feature <- Dataframes in transition during feature engineering.
│ ├── 05_model_input <- Trimmed dataframes following feature reduction for specific modeling purposes.
│ ├── 06_models <- Models resulting from parameter estimation and hyperparameter tuning.
│ ├── 07_model_output <- Model outputs/predictions.
│ ├── 08_reporting <- Dataframes, models, and any products for use in reporting out.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks and scripts <- Jupyter notebooks or .py scripts. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── 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
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
Project based on the cookiecutter data science project template. #cookiecutterdatascience