correlations

There are 0 repository under correlations topic.

raphaelvallat / pingouin
Statistical package in Python based on Pandas
pandas statistics anova effect-size multiple-comparisons cohens-d bayesian-statistics ttest correlations circular-statistics statistical-tests statistical-methods
Language:Python 1842
correlation
easystats / correlation
:link: Methods for Correlation Analysis
correlation r easystats bayesian partial-correlations gaussian-graphical-models regression correlations matrix bayesian-correlations correlation-analysis multilevel-correlations partial outliers robust cor spearman gamma biserial hacktoberfest
Language:R 446
desbordante-core
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.
data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-profiling data-science data-wrangling data-preprocessing feature-selection feature-engineering feature-extraction spreadsheets tabular-data anomaly-detection data-mining-algorithms exploratory-data-analysis knowledge-discovery correlations
Language:C++ 429
felixpatzelt / colorednoise
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
noise-generator correlations time-series power-laws python python2 python3
Language:Python 213
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.
bioinformatics brain correlations disease-prediction eeg gnn gnns graph-neural-networks health healthcare machine-learning ml neuroscience pakdd python seizure-detection w4h dynamic-gnns pakdd-24 seizure-classification
Language:Jupyter Notebook 48
sergiventosa / FastPCC
Compute interstation correlations of seismic ambient noise, including fast implementations of the standard, 1-bit, phase and wavelet phase cross-correlations.
correlations noise seismic seismology signal-processing
Language:C 44
tekpinar / correlationplus
A Python package to calculate, visualize and analyze correlation maps of proteins.
bioinformatics proteins dynamics correlations visualization analysis graph network centrality diffmap chemistry python
Language:Jupyter Notebook 41
carstenbauer / BinningAnalysis.jl
Statistical standard error estimation tools for correlated data
statistics statistical-analysis correlations monte-carlo-simulation binning
Language:Julia 30
AbinitioDGA / ADGA
Abinitio Dynamical Vertex Approximation
adga abinitio erc dmft dynamical vertex approximation prb dga arxiv correlations abinitiodga python local-correlations calculations cluster srvo3
Language:Fortran 15
dmeoli / OnlineRetail
Data Mining project 2020/2021 @ University of Pisa
data-mining online-retail rfm-analysis doc2vec embeddings hdbscan clustering predictive-analysis umap nltk data-science pattern-discovery sequential-pattern-mining time-constraints gsp-algorithm prefixspan spm customer-profile assessing-data-quality correlations
Language:Jupyter Notebook 12
felixpatzelt / scorr
Fast and flexible two- and three-point correlation analysis for time series using spectral methods.
correlation correlations time-series spectral-methods scientific python
Language:Python 10
dilettagoglia / DataMining
🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining
datamining data data-visualization data-analysis data-mining data-processing data-cleaning customer-profile clustering-analysis clustering clustering-algorithm classification correlations assessing-data-quality classification-algorithm supervised-learning unsupervised-learning sequential-patterns
Language:Jupyter Notebook 9
aleksandra-kim / akula
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
sensitivity-analysis uncertainty-propagation aleksandra-kim correlations nrp-73
Language:Python 7
elastacloud / automatic-data-explorer
An R package to explore and quality check data
summary-statistics correlations covariance pca
Language:R 5
AshtonSBradley / QuantumFluidSpectra.jl
Fast, accurate, and flexible spectral analysis for compressible quantum fluids
quantum-fluids spectral-analysis correlations julia
Language:Julia 4
m-martin-j / DataScience_PredictiveMaintenance
Codes written in the course of a data science workshop at KIT in cooperation with FZI
datascience predictive-analytics predictive-maintenance support-vector-machines correlations
Language:R 4
ayanatherate / dfcorrs
A Python utility for Cramer's V Correlation Analysis for Categorical Features in Pandas Dataframes.
hypothesis-testing pandas-dataframe pandas-python correlations cramers
Language:Python 3
TextMiningGUI
c0reyes / TextMiningGUI
Text Mining and Analysis with Biplots.
r biplots textmining biplot analysis sentiments topic-models correlations
Language:R 3
elastacloud / dataframe-utils
Util library to provide R-like dataframes and statistical functions over Parquet DataSet from parquet-dotnet
stats parquet-utils correlations time-series clustering
Language:C# 3
roxana-zeraati / spatial-network
A network model for studying the relation between temporal dynamics and connectivity structure
spatial-network temporal-dynamics correlations network
Language:Python 3
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.
aleksandra-kim correlations nrp-73 sensitivity-analysis uncertainty-propagation
Language:Python 2
iarchakov / new-correlation-transform
A New Parametrization of Correlation Matrices
correlation-matrices correlations
Language:Python 2
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.
liver-disease machine-learning-algorithms albumin aspartate-aminotransferase hyperparameter-tuning random-forest adults dataset correlations alamine-aminotransferase flatiron-school flatiron-school-project scikit-learn scikitlearn-machine-learning machine-learning algorithms algorithm datascience python jupyter-notebook
Language:Jupyter Notebook 2
michnard / MI_max
Mutual information between neural responses and stimuli: the case of noise correlations. Interactive web widget and tutorial! :)
correlations information neurons stimuli tutorial interactive-widget noise-correlations
Language:Jupyter Notebook 2
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
inferential-statistics hypothesis-testing welch-t-test correlations chi-squared-test summary-statistics variability
Language:Jupyter Notebook 2
searchgame / bulk-correlations
Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics (correlation matrix).
correlation-matrix correlations
Language:Python 2
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.
correlations dynamic-gnns gnn gnns graph-neural-network graph-neural-networks machine-learning ml poi point-of-interest python sigspatial busyness busyness-graph busyness-graph-neural-network bysgnn
Language:Jupyter Notebook 2
amoakoh22 / Forex-Pairs-Correlation-Analysis
Comprehensive correlation analysis of XAUUSD, BTCUSD, and major forex pairs using Python, statistical insights, and visualizations for financial analytics
btc computional correlations rolling statistics xauusd
Language:Jupyter Notebook 1
beyarkay / RecipeDownloader
A web scraper and some ML analysis scripts for recipe data
correlations recipe ingredients pandas keras-tensorflow
Language:Python 1
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
python pandas html javascript nba-analytics sql shot-logs players-stats correlations
Language:Jupyter Notebook 1
Dudaliya / Top-down-Correlation-R-code
This contains R Script to calculate Top-down Correlation Iman & Conover Tecnometrics 1987
correlations statistics concordance-correlation-coefficient
1
HenyerM / California-housing-price-prediction
Predicting price housing using a small data set. A project to understand the whole ML workflow.
confidence-intervals correlations cross-validation data-cleaning data-visualizat etl gridsearchcv pipelines scikit-learn ml-workflow stratifiedshufflesplit
Language:Jupyter Notebook 1
khuu-cindy / Football-Coaches-Salaries
Web scraping additional data to building a model to predict football coaches' salaries
regression fuzzywuzzy boxplots correlations football webscraping
Language:Jupyter Notebook 1
michaela10c / wine_quality_analysis
Predicts the red and white wine qualities, given their physicochemical attributes
correlations lasso-regression linear-regression logistic-regression r random-forest-classifier random-forest-regressor ridge-regression svm xgboost
1
mijailo / timeSeriesCorrelations
Colección de notebooks tutoriales para bajar series de tiempo financieras y analizarlas sus correlaciones.
correlation-analysis correlations jupyter-notebook pandas python random-matrix-theory rmt scikit-learn scipy time-series-analysis
Language:Jupyter Notebook 1
Sara1583 / IBM-Data-Science-project
Binary classification of residential utility problems in NYC; Capstone project for the IBM Certificate in Data Science
classification data cleaning-dataset jupyter-notebook correlations
Language:Jupyter Notebook 1

correlations

raphaelvallat / pingouin

easystats / correlation

Desbordante / desbordante-core

felixpatzelt / colorednoise

USC-InfoLab / NeuroGNN

sergiventosa / FastPCC

tekpinar / correlationplus

carstenbauer / BinningAnalysis.jl

AbinitioDGA / ADGA

dmeoli / OnlineRetail

felixpatzelt / scorr

dilettagoglia / DataMining

aleksandra-kim / akula

elastacloud / automatic-data-explorer

AshtonSBradley / QuantumFluidSpectra.jl

m-martin-j / DataScience_PredictiveMaintenance

ayanatherate / dfcorrs

c0reyes / TextMiningGUI

elastacloud / dataframe-utils

roxana-zeraati / spatial-network

ecological-systems-design / akula

iarchakov / new-correlation-transform

lopez-christian / Liver-Disease-Machine-Learning-Project

michnard / MI_max

Sameeksharajsb / Foundational-Statistics-and-Hypothesis-Testing

searchgame / bulk-correlations

USC-InfoLab / busyness-graph-neural-network

amoakoh22 / Forex-Pairs-Correlation-Analysis

beyarkay / RecipeDownloader

Deving789 / NBA_Final-Project

Dudaliya / Top-down-Correlation-R-code

HenyerM / California-housing-price-prediction

khuu-cindy / Football-Coaches-Salaries

michaela10c / wine_quality_analysis

mijailo / timeSeriesCorrelations

Sara1583 / IBM-Data-Science-project