There are 22 repositories under statistical-analysis topic.
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
:bar_chart: The statistical analysis tool for git repositories
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Enhancing {ggplot2} plots with statistical analysis 📊📣
Multi-class confusion matrix library in Python
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
A port of HdrHistogram to Rust
The foundational library of the Morpheus data science framework
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Collection of stats, modeling, and data science tools in Python and R.
Open-source framework to detect outliers in Elasticsearch events
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
A collection of statistical analysis tools for your Swift programs.
A library for discrete-time Markov chains analysis.
This repository contains notes and projects of Data scientist track from dataquest course work.
Repositório para meus projetos de ciência de dados (Web scraping e automação + análise exploratória de dados + machine learning + sistema de recomendação)
Streamline a data analysis process
Este livro oferece uma introdução compreensiva aos métodos estatísticos mais utilizados em Ecologia.