There are 25 repositories under statistical-analysis topic.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
C++ DataFrame for statistical, financial, and ML analysis in modern C++
:bar_chart: The statistical analysis tool for git repositories
Enhancing {ggplot2} plots with statistical analysis 📊📣
Inspects Python source files and provides information about type and location of classes, methods etc
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
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
A port of HdrHistogram to Rust
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
The foundational library of the Morpheus data science framework
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Collection of stats, modeling, and data science tools in Python and R.
Open-source framework to detect outliers in Elasticsearch events
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 Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
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.
A library for discrete-time Markov chains analysis.
This repository contains notes and projects of Data scientist track from dataquest course work.
A collection of statistical analysis tools for your Swift programs.
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
Streamline a data analysis process
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data