scikit-learn: machine learning in Python
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1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Visualize and compare datasets, target values and associations, with one line of code.
Open source time series library for Python
Module for statistical learning, with a particular emphasis on time-dependent modelling
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.