Podlozhnyy-module

Pre-release functionality

:fire: Limited **aggregated tables processing** for regressions risk analysis, rolled-out for static functions only as of now, namely `woe`, `IV`, etc. For dynamic functions the upgrades are coming with the next stable release. It helps to perform the analysis in case of the data has been grouped and supplied with the `grouping_size` column representing the number of observations per row of aggregated table, while `target` variable will mean not a _bool_ flag but the total _integer_ number of conversions per group

:ballot_box_with_check: Formatting fix for bucket's naming, now the small numbers are displayed in a more user-friendly way


**Full Changelog**: https://github.com/NPodlozhniy/podlozhnyy-module/compare/2.2.1...2.3-alpha

Correlations package update

1. The functionality which was relevant before only to numeric features, such as `correlation_significance` is extended for categorical variables
2. Now `plot_corr_matrix` is more a general interface to visualize the output correlation matrix, including apart from coefficient itself, their statistical significance as well

**Full Changelog**: https://github.com/NPodlozhniy/podlozhnyy-module/compare/2.1...2.2.1

- Decomposition of one bulky file into logical parts
- New packages were released:
- [bootstrap](https://github.com/NPodlozhniy/podlozhnyy-module/blob/main/podlozhnyy_module/bootstrap.py)
- [collocation](https://github.com/NPodlozhniy/podlozhnyy-module/blob/main/podlozhnyy_module/collocation.py)
- [pareto](https://github.com/NPodlozhniy/podlozhnyy-module/blob/main/podlozhnyy_module/pareto.py)
- Methods additional to existed packages were implemented
- [correlation_significance](https://github.com/NPodlozhniy/podlozhnyy-module/blob/bf252d5378eef0373bd53530592a091442ce8deb/podlozhnyy_module/correlation.py#L31)
- [regression_report](https://github.com/NPodlozhniy/podlozhnyy-module/blob/bf252d5378eef0373bd53530592a091442ce8deb/podlozhnyy_module/regression.py#L776)

**Full Changelog**: https://github.com/NPodlozhniy/podlozhnyy-module/compare/1.3...2.1

Implemented support for simple installation using `pip`

See datails here: [PyPI Docs](https://pypi.org/project/podlozhnyy-module/)
**Full Changelog**: https://github.com/NPodlozhniy/podlozhnyy-module/commits/1.3