correlations
There are 49 repositories under correlations topic.
raphaelvallat/pingouin
Statistical package in Python based on Pandas
easystats/correlation
:link: Methods for Correlation Analysis
Desbordante/desbordante-core
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
felixpatzelt/colorednoise
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
sergiventosa/FastPCC
Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit, phase and wavelet phase cross-correlations.
tekpinar/correlationplus
A Python package to calculate, visualize and analyze correlation maps of proteins.
USC-InfoLab/NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
carstenbauer/BinningAnalysis.jl
Statistical standard error estimation tools for correlated data
AbinitioDGA/ADGA
Abinitio Dynamical Vertex Approximation
dmeoli/OnlineRetail
Data Mining project 2020/2021 @ University of Pisa
felixpatzelt/scorr
Fast and flexible two- and three-point correlation analysis for time series using spectral methods.
dilettagoglia/DataMining
🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining
aleksandra-kim/akula
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
m-martin-j/DataScience_PredictiveMaintenance
Codes written in the course of a data science workshop at KIT in cooperation with FZI
elastacloud/automatic-data-explorer
An R package to explore and quality check data
AshtonSBradley/QuantumFluidSpectra.jl
Fast, accurate, and flexible spectral analysis for compressible quantum fluids
ayanatherate/dfcorrs
A Python utility for Cramer's V Correlation Analysis for Categorical Features in Pandas Dataframes.
c0reyes/TextMiningGUI
Text Mining and Analysis with Biplots.
elastacloud/dataframe-utils
Util library to provide R-like dataframes and statistical functions over Parquet DataSet from parquet-dotnet
lopez-christian/Liver-Disease-Machine-Learning-Project
This repository includes my Liver Disease Machine Learning-Flatiron School Module 3 Project. For this project I used libraries such as Pandas, Matplotlib, and Seaborn for visualizations and Scikit-Learn for the machine learning portion of the project. I implemented various classification algorithms on the data including some hyperparameter tuning.
michnard/MI_max
Mutual information between neural responses and stimuli: the case of noise correlations. Interactive web widget and tutorial! :)
roxana-zeraati/spatial-network
A network model for studying the relation between temporal dynamics and connectivity structure
Sameeksharajsb/Foundational-Statistics-and-Hypothesis-Testing
A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results
USC-InfoLab/busyness-graph-neural-network
Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.
beyarkay/RecipeDownloader
A web scraper and some ML analysis scripts for recipe data
Deving789/NBA_Final-Project
Using Python, R, and SQL with the 2014-15 NBA season data set. Our project imports the data set, merges with other files for cleaning & processing then puts the material into a machine learning algorithm
Dudaliya/Top-down-Correlation-R-code
This contains R Script to calculate Top-down Correlation Iman & Conover Tecnometrics 1987
ecological-systems-design/akula
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
HenyerM/California-housing-price-prediction
Predicting price housing using a small data set. A project to understand the whole ML workflow.
iarchakov/new-correlation-transform
A New Parametrization of Correlation Matrices
khuu-cindy/Football-Coaches-Salaries
Web scraping additional data to building a model to predict football coaches' salaries
michaela10c/wine_quality_analysis
Predicts the red and white wine qualities, given their physicochemical attributes
mijailo/timeSeriesCorrelations
Colección de notebooks tutoriales para bajar series de tiempo financieras y analizarlas sus correlaciones.
Ryan-Eberle/Diabetes-Demographics-in-Colorado
Visualization project of diabetes rates along Age, Income, Food Security, and Urban/Rural settings.
Sara1583/IBM-Data-Science-project
Binary classification of residential utility problems in NYC; Capstone project for the IBM Certificate in Data Science
searchgame/bulk-correlations
Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics.