This repository contains resources that help students start their learning in the Business Analytics A course.
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── 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.
│
├── environment.yml <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `conda env export > environment.yml`
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── 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`.
│
├── 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
│
└── src <- Source code for use in this project.
│
├── app <- Scripts for serving applications related to models
│
├── data <- Scripts to download or generate data
│
├── features <- Scripts to turn raw data into features for modeling
│
├── models <- Scripts to train models and then use trained models to make
│ predictions
│
└── visualization <- Scripts to create exploratory and results oriented visualizations
Project based on the cookiecutter data science project template. #cookiecutterdatascience