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Stats Maths With Python ⭐ 492

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

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

Probability Distributions For Php ⭐ 52

PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data

Statistics For Data Science ⭐ 8

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.

Truncatednormal.jl ⭐ 8

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

Normality ⭐ 6

🔔17 standard normality tests in a single wrapper

Plotting Uncertainty Ellipses ⭐ 5

This Jupyter notebook demonstrates how to properly plot uncertainty (confidence) ellipses for 2D normally distributed data.

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