Statsmodels: statistical modeling and econometrics in Python
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Updated
Dec 23, 2022 - Python
Statsmodels: statistical modeling and econometrics in Python
A light-weight, flexible, and expressive statistical data testing library
Enhancing {ggplot2} plots with statistical analysis
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
Enabling easy statistical significance testing for deep neural networks.
Hypothesis tests for Julia
Learning kernels to maximize the power of MMD tests
Collection of stats, modeling, and data science tools in Python and R.
Python package for probability density function fitting of univariate distributions of non-censored data.
Python package for multivariate hypothesis testing
Display and analyze ROC curves in R and S+
Machine learning for beginner(Data Science enthusiast)
Multiple hypothesis testing in Python
Quickcheck/hypothesis style testing for elisp
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.
Hypothesis and statistical testing in Python
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
A New Interactive Approach to Learning Data Analysis
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