🍀 Local git statistics including GitHub-like contributions calendars.
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Updated
Aug 6, 2025 - HTML
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
🍀 Local git statistics including GitHub-like contributions calendars.
Self-hosted, open-source dashboard for your Strava data.
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.
To know stats by heart
统计之都主站
Collection of stats, modeling, and data science tools in Python and R.
Various teaching material
📊 Methods of Applied Statistics Course Textbook Repository
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
📜Automated review of open source software projects
R package ggpmisc is an extension to ggplot2 and the Grammar of Graphics
Berlin Time Series Analysis Repository