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#

pearson-correlation-coefficient

Here are 42 public repositories matching this topic...

Pearson correlation coefficient calculator

  • UpdatedJun 1, 2015
  • Ruby

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

  • UpdatedAug 10, 2019
  • Jupyter Notebook

In this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented

  • UpdatedAug 8, 2022
  • Jupyter Notebook

"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 basic Java GUI application built with Netbeans, which is able to filter values imported from a CSV file (with a search query from the user) and find the Pearson's Correlation Coefficient from 2 columns of numerical values (the columns which are selected are hardcoded). The correlation coefficient is presented numerically with the option to vie…

  • UpdatedOct 1, 2019
  • Java

A step-by-step tutorial for Weighted correlation network analysis (WGCNA) applied to see differential disease severity immune response in Dengue infected large indian cohort.

  • UpdatedDec 25, 2024
  • R

A program that will return the Pearson correlation coefficient of the stocks entered. One coefficient is returned for each possible pair. The program will plot a heat map and will return a CSV file containing the correlation of each possible stock pair.

  • UpdatedApr 21, 2022
  • Jupyter Notebook

Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set

  • UpdatedMar 15, 2022
  • Jupyter Notebook

Movie Recommendation System with the data from MovieLens

  • UpdatedApr 21, 2019
  • Jupyter Notebook

This package contains functions to find similarities between arrays

  • UpdatedOct 11, 2025
  • TypeScript

MovieLens is a well-known database that collects movie ratings, reviews, and metadata. With the rise of streaming services and the exponential growth of content, having an effective recommendation system has become crucial for enhancing user experience. So here is our Movie Recommender System.

  • UpdatedSep 11, 2024
  • Jupyter Notebook

This is a work from the subject of stadistics is about linear regression in the language R, It also calculates the Pearson coefficient

  • UpdatedJul 10, 2025
  • R

Pharmaceutical analysis utilizing Python, Pandas, & Matplotlib. Generate summary statistics, create bar charts, scatter plots, and calculate correlation and regression.

  • UpdatedApr 27, 2023
  • Jupyter Notebook

Simple Pearson's correlation coefficient calculator.

  • UpdatedOct 8, 2024
  • Python

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