Skip to content
#

python-statistics

Star

Here are 16 public repositories matching this topic...

Language: All
Filter by language
All 16 Jupyter Notebook 11 Python 5
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

Pegah-Ardehkhani / Statistics-and-Probability-in-Python

Star 141

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

python statistics probability regression p-value scipy confidence-intervals matplotlib inferential-statistics discrete-distributions hypothesis-testing continuous-distributions probability-theory random-variables python-statistics statistics-for-data-science statiscal-learning statistical-hypothesis-testing parametric-hypothesis-tests statistics-using-python
  • Updated Mar 14, 2025
  • Jupyter Notebook

suneelpatel / Statistics-for-Data-Science-using-Python

Star 44

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.

data-science statistical-analysis statistical-inference python-statistics statistics-for-data-science statistict-using-python
  • Updated Aug 18, 2019
  • Jupyter Notebook

Jabulente / Analysis-of-Variance-ANOVA

Star 0

This repository contains Python scripts for performing analysis of variance (ANOVA), including one-way and two-way ANOVA tests, normality checks, and result interpretation. Useful for experimental data analysis in agriculture, biology, and other applied sciences.

python data-science machine-learning ai statistical-analysis python-scripts hypothesis-testing anova experimental-design python-statistics two-way-anova one-way-anova
  • Updated Jul 16, 2025
  • Jupyter Notebook

chirindaopensource / election_polarization_analysis

Star 0

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical validation following Ginzburg's (2024) framework. Jupyter Notebook based.

jupyter-notebook political-science data-analysis public-opinion survey-analysis computational-social-science mathematical-modeling quantitative-methods python-statistics affective-polarization political-behavior electoral-polarization ideological-positioning issue-salience voter-distributions cumulative-distribution-functions statistical-comparison electoral-research political-data-science social-science-research
  • Updated Jun 22, 2025
  • Jupyter Notebook

Hopecore90 / Analysis-of-Variance-ANOVA

Star 0

Explore Python scripts for Analysis of Variance (ANOVA) to test group differences and categorical factors. Ideal for agriculture and biological research. 🐍📊

python data-science machine-learning statistics ai analysis statistical-analysis variance python-scripts hypothesis-testing anova sum-of-squares experimental-design degrees-of-freedom mean-squared python-statistics two-way-anova one-way-anova
  • Updated Jul 18, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the python-statistics topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the python-statistics topic, visit your repo's landing page and select "manage topics."

Learn more