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