Gauss Naive Bayes in Python From Scratch.

Examples of generating random variables from the basic probability distributions

Examples of using the test statistics to test hypotheses

Symmetric and asymmetric normal distributions in Python

The SOLVISTA Smart Calculator is an advanced multi-functional device designed to integrate various mathematical tools into a single touch-screen interface

This repository contains the solutions to HackerRank's 10 Days of Statistics.

This script demonstrates the Maximum, Minimum and Z-Score Normalization for Machine Learning purposes.

Basic distributions code in Python for faster creation and visualisation of distributions.

Monte Carlo simulator in Python.

Introducing the world's first fully generalized normal distribution, super-flexible in both, skewness and kurtosis. Basically will enable for automatic testing of skew __and also__ heavy tailed/ fat tailed distributions.

Examples of normal distribution with python

An implementation for One-Way Prototypical Networks

10th grade project: traffict-light-intelligence. Smart system for uniform distribution of cars

Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python.

This http traffic generator uses a Normal distribution to limit the connection per second

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

Provide true random numbers based on the random-bit file generated by RANDOM.ORG

Confidence interval for a one sample test.

A package for the most basic complex random sampling.

Basic Statistic operations using Python