467 Open source projects that are alternatives of or similar to Expan

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Open-source framework to detect outliers in Elasticsearch events

Collection of stats, modeling, and data science tools in Python and R.

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

Open Source Feature Flagging and A/B Testing Platform

Multi-class confusion matrix library in Python

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

📊 The statistical analysis tool for git repositories

📈 Regression and Classification with UC Davis student quiz data and exam data

The foundational library of the Morpheus data science framework

Java dataframe and visualization library

🦊 Kitsu seasonal anime trends

Statistics library for PHP

Identify bias and measure fairness of your data

R Package - Analysis of Archaeological Mortality Data

9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)

Jupyter notebooks with examples of statistical methods and analyses using R.

Full Bayesian Inference for Hidden Markov Models

A C# wrapper library for Mojang API (no longer actively maintained)

The open-source computational framework for the Swift language

WhatsApp bot powered by Twilio API to get through the quarantine. Latest COVID19 statistics, world news, inspirational quotes and cat photos.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Machine learning models for time series analysis

The Microbiome Interpretable Temporal Rule Engine

These are all the articles and pages I have in my data science website. I try to transcribe all I learn and post regularly. Please visit and feel free to email me for suggestions.

Materials for the Teaching statistics and data science online workshops in July 2020

Nonlinear Nonparametric Statistics

Source files for "Learning Statistics with R"

Python SDK client for Split Software

R package for statistical tools with big matrices stored on disk.

Model statistics dashboard for your Laravel Application

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

d3js box plot plugin

Example of adaptive trend following strategy based on Renko

This addon adds awesome statistics to your beloved Thunderbird!

Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)

Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

MongoDB Info - command line tool to get stats.

Aplicação para acompanhamento das estatísticas do COVID-19 no Brasil 🦠

Statistics for telegram groups

A PureScript, browser-based implementation of simple linear regression.

Github language, repo and developer stats for Turkey.

CLI Statistics and dependency graphs for PHP

Valise pédagogique pour la formation à R

Extreme Value Analysis (EVA) in Python

A bunch of easy to set up stats for the Emacs mode-line.

👬 👭 Poor intrusive way to make A/B Testing by using an HoC instead of components

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Human-explainable AI.

A Julia package for fitting (statistical) mixed-effects models

Retour allows you to intelligently redirect legacy URLs, so that you don't lose SEO value when rebuilding & restructuring a website

Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

a collection of books, articles, and tutorials to learn and apply analytics

Perform statistics on Mixpanel API data