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https://github.com/friendotjava/anime-recommendation-app


https://github.com/friendotjava/anime-recommendation-app

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README

          

# Anime Recommendation App



A short description of the project.

## Project Organization

```
├── LICENSE <- Open-source license if one is chosen
├── Makefile <- Makefile with convenience commands like `make data` or `make train`
├── 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.

├── docs <- A default mkdocs project; see www.mkdocs.org for details

├── 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`.

├── pyproject.toml <- Project configuration file with package metadata for
│ anime_recommendation_app and configuration for tools like black

├── 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.cfg <- Configuration file for flake8

└── anime_recommendation_app <- Source code for use in this project.

├── __init__.py <- Makes anime_recommendation_app a Python module

├── config.py <- Store useful variables and configuration

├── dataset.py <- Scripts to download or generate data

├── features.py <- Code to create features for modeling

├── modeling
│ ├── __init__.py
│ ├── predict.py <- Code to run model inference with trained models
│ └── train.py <- Code to train models

└── plots.py <- Code to create visualizations
```

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