Lesson material on data science and machine learning topics/concepts
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Updated
May 27, 2021 - Jupyter Notebook
Lesson material on data science and machine learning topics/concepts
Ruby gem for some statistical operations without any statistical language dependency
🚀 A library designed to facilitate work with probability, statistics and stochastic calculus
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
An expressive crystal implementation of statistical distributions and usual math functions. 📊
Field Guide to Continuous Probability Distributions by Gavin E. Crooks
1D Wasserstein Statistical Loss in Pytorch
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
Location Scale Invariant Distributions
Simple python package for performing complex mathematical operations, statistical distributions and data visualization. Package distributed on PyPi
HydroPortail statistical functions - Fonctions statistiques de l'HydroPortail
Python 3 tkinter graphical statistical distributions fitting application. Allows multiple selection of over 85 statistical distributions from scipy.stats, saves results to PDF
Extreme value statistics
Mann Whitney U Test Implementation
Spatial Statistics module. Deals with the calculation of spatial statistics under variety of scenarios and definitions.
Explore common probability distributions with this interactive dashboard.
StatsPykage is an open source Python package for analysing standard statistical distributions: Gaussian, Binomial, Poisson etc. distributions; hosted on PyPi.org
A series of practical, sufficient, and to-the-point crash courses offered at the University of Tehran, mostly for Economics students with no prior programming background.
Python package for performing advanced mathematical and statistical operations
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