General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

The most random module on npm

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

Gauss Naive Bayes in Python From Scratch.

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.

10 Days of Statistics Challenges at HackerRank

🔔17 standard normality tests in a single wrapper

An algorithm based on Java implementation, can automatically check the set of outliers in a set of data, eliminate these outliers, and finally get normal data.基于java实现的能够自动检查出一组数据中的异常值的集合，剔除这些异常集，得到正常数据。

Package provides the javascript implementation of various statistics and distribution

C++ and Julia Normal distribution generated with uniform distribution

Compute mean and variance of the univariate truncated normal distribution (works far from the peak).

A text analyzer to tell the sentiment in a given text

Desktop app that estimates the probability of price movements for stocks

Statistics library for Dart

Shiny app - Bayesian inference for normal mean (known variance)

Monte Carlo simulator in Python.

Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.

Applying A/B test to help determing if company should launch the new page

Fire Detection and Alarm Topology ( based in Neural Network ) in Java ME

R program to analyze and calculate statistical values given a dataset of home prices that include information about the number of baths, bedrooms, year, square-feet, taxes, and other features. Learn more:

Anomaly Detection using C#

a simple shiny app that perform statistical tests such as normal test, t-test, and chi-square test

Random data generator from scratch. (Using numpy for simple mathematical functions only)

Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups

An autoclicker that uses normal distribution to click

Examples of normal distribution with python

golang normal distributions

How much will I earn in a year depending on what happens. Program written in C++ , contains Gauusian (normal) and discrete distribution. Details in main.cpp file.