21 skills found
thieu1995 / MafeseFeature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
WenYanger / Keras MetricsSome Metric Implementation in Keras (Such as Pearsons Correlation Coefficient, Mean Relative Error)
alfonsojimenez / PearsonPearson correlation coefficient calculator
null-none / Correlation PearsonPearson product-moment correlation coefficient
mansipatel2508 / Network Intrusion Detection With Feature Extraction MLThe 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.
pitsianis / FastLocalCorrelationCoefficients.jlFast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.
UP-RS-ESP / CorrCoefPython C-extension for memory efficient and multithreaded Pearson product-moment correlation coefficient estimation using OpenMP
ShishirPatil / Pearson CorrelationMatlab function to generate the Pearson Product-Moment Correlation Coefficient
Gagniuc / Pearson Correlation CoefficientThis example calculates the Pearson correlation coefficient (r), by measuring the linear relationship between two arrays. The use of means and then the accumulators, shows how covariance and variance combine into (r), with results from -1 to +1. Implemented in Python, MATLAB, and JavaScript.
meantrix / CorrpCompute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in parallel backend.
Claudmj / Microarray Analysis With Bayesian NetworksMicroarray analysis with Bayesian hierarchical clustering and Bayesian network clustering on three microarray datasets. Pearson's correlation coefficient and an augmented Markov blanket are used for feature selection.
VeronicaNava / RamanMPPre-processing and polymer identification of Raman spectra of plastics. Pre-processing includes normalisation functions, peak identification based on local maxima, smoothing process and removal of spectral region of no interest. Polymer identification can be performed using Pearson correlation coefficient or Euclidean distance (Renner et al. (2019), <doi:10.1016/j.trac.2018.12.004>), and the comparison can be done with a user-defined database or with the database already implemented in the package, which currently includes 356 spectra, with several spectra of plastic colorants.
PARSA-MHMDI / CorrelationIn this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented
tanvirnwu / Feature Selection Python"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.
compute-io / PcorrComputes Pearson product-moment correlation coefficients between one or more arrays.
ajayarunachalam / RegressorMetricGraphPlotPython package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (mape), etc.
UTennessee-JICS / MPCCOptimized Parallelized Matrix Pearsons Correlation Coefficient
AhmedIbrahimai / Pearson Correlation Coefficient And Simple Linear RegressionNo description available
davidchan125 / PearsonsCorrelationCoefficientCalculatorA 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 view it in a scatter graph.
v0di / Btc CorrelationThis simple analysis done in python has the goal of calculating the distribution of the Pearson correlation coefficients between some of the alt-coins listed in Binance and the Bitcoin.
