Bayesian Modeling and Probabilistic Programming in Python

Java dataframe and visualization library

📊 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

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

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

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

Enhancing {ggplot2} plots with statistical analysis 📊📣

Multi-class confusion matrix library in Python

BAyesian Model-Building Interface (Bambi) in Python.

R package for DNA methylation analysis

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Data Science courses in R from HarvardX

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, Descri…

Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

Udacity FWD2.0 advanced data analysis nano degree connect sessions

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

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

A port of HdrHistogram to Rust