データサイエンス・人工知能

Copulas is a Python library for modeling multivariate distributions and sampling from them using copula functions. Given a table containing numerical data, we can use Copulas to learn the distribution and later on generate new synthetic rows following the same statistical properties.

Some of the features provided by this library include:

• A variety of distributions for modeling univariate data.
• Multiple Archimedean copulas for modeling bivariate data.
• Gaussian and Vine copulas for modeling multivariate data.
• Automatic selection of univariate distributions and bivariate copulas.

https://github.com/sdv-dev/Copulas

メニュー

1. Python
2. 機械学習
3. 深層学習
4. 自然言語処理
5. データ拡張
6. 可視化
7. 規模推定
8. 微生物同定
9. 偽情報対策
10. 系列解析
11. 最適輸送