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#

chi-square

Here are 67 public repositories matching this topic...

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

  • UpdatedJan 23, 2018
  • Jupyter Notebook

benfordslaw is about the frequency distribution of leading digits.

  • UpdatedMar 2, 2025
  • Python

Package provides the javascript implementation of various statistics and distribution

  • UpdatedAug 17, 2022
  • JavaScript

npm package to run Chi-Squared tests on numerical arrays.

  • UpdatedFeb 12, 2022
  • TypeScript

"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.

  • UpdatedMay 28, 2023
  • Jupyter Notebook

A library for random sequences estimating.

  • UpdatedOct 12, 2012
  • C#

Library for calculating statistical distributions, written in pure Python with zero dependencies.

  • UpdatedDec 25, 2024
  • Python

Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.

  • UpdatedJan 20, 2025
  • JavaScript

Natural logarithm of the probability density function (PDF) for a chi-squared distribution.

  • UpdatedJan 20, 2025
  • JavaScript

Bioinformatics study on tfbs and their association with specific tissues.

  • UpdatedSep 11, 2019
  • Python

Implementation of Decision tree learning algorithm with chi-square pruning

  • UpdatedDec 23, 2017
  • Python

Crafting static and dynamic models for data exfiltration detection via DNS traffic analysis. Static model trained on batch data, while dynamic model simulates a continuous stream. Rigorous analysis, feature engineering, and model training conducted. Implementation part of AI for Cyber Security Master's assignment at the University of Ottawa, 2023.

  • UpdatedJan 12, 2024
  • Jupyter Notebook

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