Package which introduces a lot of conventient functins for common data science tasks such as fitting glms, plotting...
Wraps common data science packages such as sklearn, statsmodels, seaborn
This package has two purposes: automate and provide provide an easy interface to ds methods.
Examples: Wrap statsmodels glms implementation -> Automatically generate all kinds of diagnostics plots
Dummy estimators creates a lower bound on common error metrics. Useful at the start of the analysis before using more sophisticated models.
Unified method for loading example datasets, from statsmodels, R packages, sklearn... and retruning them as a dataframe
Automatically generate common visualizations for timeseries as polar plots, seasonal plots...
