KNIME Statistics and Social Science Extension is designed to provide Python-based nodes for advanced statistical and social science analysis. This extension enables researchers and analysts to integrate sophisticated statistical methods into their KNIME workflows, enhancing their ability to conduct robust data analysis.
Iterative Amplitude Adjusted Fourier Transform with Simulated Annealing. Various properties kept during multivariate time series simulation by using a modified version of the IAAFT algorithm.
Collection of work from my Masters degree in Data Science
This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.
The uvvis-app allows to evaluate concentrations of analytes in mixtures using Multivariate Partial Least Squares (PLS) analysis.
Multivariate Linear and Logistic Regression Using Gradient Descent Optimization.
a multivariate clustering function and a multivariate classification class for artificial intelligence, working with JSON/dict format.
Python library for modelling complex multivariate dependencies using stochastic copulas
Python toolbox intended for GIS Archaeology tools developed by Matthew Bova
Materials supporting the Multivariate analysis sessions
Facial attractiveness in the brain: A multivariate pattern analysis
Detergent for Multivariate Analysis Pipelines of Neuroimaging data in Python
Parallel Coordinates visualization tool for n-D multivariate classifications
Analyze house price data using univariate, bivariate, and multivariate analysis.
[Thesis] Official implementation of NESolver: A Chemistry-Informed Tool for Multivariate Ion Analysis with Ion-Selective Electrodes
Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)
This repository contains the code for paper "Multivariate compound events drive historical floods and associated losses along the U.S. East and Gulf coasts"
MSPC application to seismic data developed as part of the DigiVolCan project.
A mirror and a fork of PyChem
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