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

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

Display and analyze ROC curves in R and S+

Machine learning for beginner(Data Science enthusiast)

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.

Multiple hypothesis testing in Python

A New Interactive Approach to Learning Data Analysis

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.