Statsmodels: statistical modeling and econometrics in Python

A light-weight, flexible, and expressive statistical data testing library

Enhancing {ggplot2} plots with statistical analysis 📊📣

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

distfit is a python library for probability density fitting.

Enabling easy statistical significance testing for deep neural networks.

Hypothesis tests for Julia

Python package for multivariate hypothesis testing

Collection of stats, modeling, and data science tools in Python and R.

Learning kernels to maximize the power of MMD tests

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

Display and analyze ROC curves in R and S+

Machine learning for beginner(Data Science enthusiast)

Multiple hypothesis testing in Python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

A New Interactive Approach to Learning Data Analysis

Robust statistics in Python