This Repository consist of projects and basics theory about the statistics and data analytics approaches
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Updated
Feb 8, 2023 - Jupyter Notebook
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.
This Repository consist of projects and basics theory about the statistics and data analytics approaches
A web page showing JSDelivr stats like usage statistics, top browsers, etc.
Assignments Basic Stats 2 Set 1
Homeworks in C# done during CyberSecurity statistics course
This repository has some practices of statistics in R and Python.
Shiny app to explore introductory statistical concepts.
A tool to generate contributor statistics from a GitHub repository and present them in an HTML table.
This repository covers of basics of statistics for beginners of data science student👩🎓.
Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods
This is an archive for coursework accumulated while taking a course in computation and optimization for statistics and statistical modeling
Шпаргалка по статистике / statistics cheat sheet (python, numpy, pandas, scipy, statistics)
Better statistics about Stack Overflow's 2023 Developer Survey
R notebooks with code and explanations for various statistical analyses.
Gistatic retrieves statistics from specified repositories of Github
Analyze your Facebook Messenger data
Statistics with Python: frequencies and measures