GitHub topics: multivariate-analysis

Repositories

NiveditaSureshK/Stock-Market-Analysis

Analysis of opening and closing prices, market share, and market capitalization of 500 large companies listed on US stock exchanges using Python libraries pandas, NumPy, matplotlib, and seaborn.

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ilkedercan/R-HeartDisease-Modelling-with-Multivariate-Statistics

Language: R - Size: 723 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

onafetsidrasul/space_weather_multivariate_forecasting

50 days forecast of F10.7 thanks to a multivariate analysis with LSTM networks

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ScepticaScientific/Data-Science

Time series analysis codes used in the company's data science projects.

Language: Python - Size: 3.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

AmMoPy/Data_Visualization

Collection of data visualizations that are normally part of an EDA

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benkeser/cvma

Cross-validation-based maximal associations

Language: R - Size: 170 KB - Last synced at: 21 days ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

ApirsAL/GeoReVi

Geological Reservoir Virtualization

Language: C# - Size: 455 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 4

ousmal/Openclassrooms_Projet2_app_sant-

Application pour la santé publique France

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mpokojovy/PPcovMcd

A robust deterministic affine-equivariant algorithm for multivariate location and scatter

Language: R - Size: 516 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

jasb3110/COVIDPERU

To analyse COVID data-set in Peru which provides by government.

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pgrondein/nutrition_app_feasibility

Feasibility of a nutritional assessment application

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SanaeSaccomano/Data-Science

Résumé de mes projets de Data Science

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emanuelemorales/Customer-Segmentation

Application of Multivariate Statistics on customer’ habits features to obtain a Customer segmentation of a wholesale shop.

Language: R - Size: 1.53 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

mmlapeira2/Useful_R_scripts

In this repository I will store useful R scripts for general data analysis.

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kevinprinsloo/mTRF

Multivariate Temporal Response Function

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gastonstat/plsdepot

R package plsdepot

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ClaudioPoli/Numerical-methods

Set of projects implemented for the "Numerical Methods" University course

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ashishyadav24092000/UnivariateAndBivariateAndMultivariate-Analysis

Analysis for univariate, bivariate and multivariate types.

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sanger-matteo/PLS-DA-for-metabolomics

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LabCognition/SamplePredictor

Example using the multivariate data analysis (MVA) prediction API

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kantharajucn/rental_bike_utilization_prediction

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RayDebashree/metaUSAT

metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.

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carlosalvarezh/Analitica_Datos

Curso de Analítica de datos para la toma de decisiones basadas en información, ofrecido al CEC de la Universidad EAFIT.

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Axik0/OIL

Multivariate oil production time series analysis with XGBoost and neural networks

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Victoriambaka/IP-WEEK-7

This document contains the project done on Exploratory data analysis, Univariate, Bivariate and Multivariate

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DataSlingers/MoMA

MoMA: Modern Multivariate Analysis in R

Language: R - Size: 940 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 3

ISAIAH-Git/SEABORN-COMPLETE-END-TO-END

Complete seaborn end to end

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saideepaknagaraj/Milk-spectra-analysis

This assignment focuses on exploring and analyzing the Milk Spectra dataset (Milk_MIR_Traits_data_2023.csv) through various data analysis techniques and modeling approaches.

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R Package That Can Simultaneously Perform Factor Analysis And Cluster Analysis Of Count Data Via Parsimonious Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers. This Model Permits For Parsimonious Covariance Structures And Dimension Reduction, Thus Reducing The Number Of Free Parameters To Be Calculated.

Language: R - Size: 204 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

ItsDebol/User_Analytics_in_the_Telecommunication_Industry

Performed the User Analytics for a Telecom Industry. The data is extracted from a month of aggregated data on xDR. The tasks done are User Overview analysis User Engagement Analysis Satisfaction Analysis Experience Analytics

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AlanRace/SpectralAnalysis

Software for the analysis and interactive exploration of spectral imaging data

Language: MATLAB - Size: 85.9 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 9

alinacherkas/MA-Thesis 📦

Replication files for the MA Thesis submitted to Central European University in a.y. 2019/2020

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kaushik-prasad-dey/Data-analytics-projects

This repository contains data analytics projects which covers most topics regarding data analytics

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dibuja/dd-classifier

Using a DD-Classifier to cluster patients based on their risk to suffer a heart failure.

Language: R - Size: 1.7 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

andrea-ballatore/calculating-uniqueness

An index to calculate the uniqueness of multivariate observations (R code)

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alexchelsea22/TEG-UC-ING_INDUSTRIAL

Programa Computarizado, elaborado en el lenguaje de programacion MATLAB, referente al Trabajo Especial de Grado para optar al Título de Ingeniero Industrial, en la Facultad de Ingeniería de la Universidad de Carabobo, año 2015; la cual fue reconocida con mención honorífica.

Language: MATLAB - Size: 5.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AvaAvarai/EnvelopePlotter

Parallel Coordinates visualization tool for n-D multivariate classifications

Language: Python - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sandeep9975/car_price_predection

CAR PRICE PREDICTION USING MULTI-VARIATE ANALYSIS

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novinsh/multivariate-project

Sign Language Digit Classification

Language: R - Size: 9.71 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 0

great-northern-diver/loon.tourr

An interactive interface via loon to the R package tourr

Language: R - Size: 9.02 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

aeglon97/Communicate-Data-Findings

A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.

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HeliaHashemipour/Trade-Forecast

Trade forecast

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ajijohn/multivariate-stats

Multivariate statistics

Language: R - Size: 399 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

TuoooLiu666/high-dimensional-analysis

This repo is dedicated to documenting learning process of multivariate analysis techniques.

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masekj/SampleTiler

A tool for a feasible construction of large-scale point sets.

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crettazminaglia/Land_Use_vs_macroinvertebrates_-_SecondaryFoodWebs

This repository contains the scripts and dataset used in the manuscript named Effects of anthropogenic stressors on macroinvertebrate communities in Neotropical streams of Argentinian Center-Eastern. Now, this manuscript is in the preprint version.

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masekj/jmtest

A tool for a feasible construction of large-scale point sets.

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ShrayanRoy/Bankruptcy-Prediction

Project of a coursework - Multivariate Analysis (M.Stat Semester 2) under the supervision of Prof. Swagata Nandi. (Project Group : Adrija Saha, Shrayan Roy, Sampurna Mondal)

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Abanoub8yuossef/Prosper-Loan_data-analysis-project

making analysis using Exploratory and Explanatory visualizations through Univariate, Bivariate, Multivariate Exploration

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JoeRothwell/EPIC-metabolomics

Scripts for analysis of metabolomics data relating to nutrition, health and disease in the EPIC study.

Language: R - Size: 214 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

collinswakholi/Image-Analysis-Beef-Yield-Estimation

Goal of this project was to predict beef carcass 22 yield parameters using image analysis. The code (written in MATLAB, Python) for image processing, feature extraction and multivariate modelling is found in this repository

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niteshjindal-7/bayesian-inferences-multivariate-normal-distribution

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michelelagreca/DIGISER

Final project of 'Applied Statistics' Course, aiming on helping stakeholders and policy makers in making decisions on best-possible actions to boost digital transformation of local public services in the European Union.

Language: R - Size: 1.21 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Aariq/chemhelper

Helper Functions For Dealing With GCMS and LCMS data from IonAnalytics

Language: R - Size: 378 KB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

S-CHAN11/Insurance-Claim-Prediction

In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.

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Samuel-col/baraleShirkeTest

R implementation of two samples location/scale multidimensional test proposed by Barale and Shirke.

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dpghazi-zz/pisa-2012-data-analysis

Implemented univariate, bivariate, and multivariate Analyses to see how students performed globally from the PISA 2012 Dataset.

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Careless-Caramel/blood-donar

Analysis on Blood Donar Dataset

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ashish-pro/bank-loan-case-study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected.

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mdsaiful13/Machine-Learning-JU

JU programms

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alexandrandom/BTC-LSTM-PRICE-PREDICTION-NLP

Bitcoin Price Prediction model - LSTM | Multivariable (Price&Polarity) Time Series Forecasting with NLP for Twitter Sentiments aka my Master's Thesis

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tempse/sklearn-beginners-template

Example of basic data analysis using machine learning in scikit-learn

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ismailazdad/Design-an-application-at-the-service-of-public-health

Analyse exploratoire de données

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Mehak0310/Credit-EDA-Case-Study

Perform Exploratory Data Analysis(EDA) on loan applications to understand how various client attributes (like marital status, education, occupation, etc.) influence the tendency of default.

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nikhils10/Multivariate-Analysis--Oil-Price-Prediction-Using-LSTM-GRU-

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 12

friendly/Vis-MLM-tutorials

Tutorials on Visualizing Multivariate Linear Models in R

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Usama-Tariq/Udacity_Communicat-Data-Findings_Project-5_DAND

Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.

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cminuttim/socio-e_inegi_fa

Construcción de indicadores socioeconómicos mediante un análisis del Censo de Población y Vivienda 2020, utilizando variables relevantes en modelos predictivos de salud. Con estos indicadores se busca poder determinar las contribuciones relativas de los factores sociales y económicos, en diferentes modelos predictivos relacionados a la salud.

Language: R - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

lukaseamus/DIMRS

Data and R code accompanying article 10.1002/aqc.3814 in Aquatic Conservation: Marine and Freshwater Ecosystems.

Language: R - Size: 4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

Language: R - Size: 13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 7

AlexiaNomena/Correspondence_Analysis_User_Friendly

Correspondence Analysis with python

Language: Python - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

tkhan11/LSTM-VAR-for-Multivariate-Time-Series-Forecasting

Long short term memory (LSTM) and Variational-autoencoder (VAR) combined for Multivariate Time Series Forecasting

Language: Python - Size: 1.13 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

pqrst/ParkinsonsDiseaseDataAnalysis

Parkinson's disease data analysis from uci machine learning repository dataset.

Size: 446 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 11

Gordarg/SnowFramework Fork of tayyebi/SnowCity-v2 📦

🌐 REST Framework

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chandlerbing65nm/Mathematics-for-Machine-Learning-Coursera 📦

This repository contains my solutions for labs and programming assignments on Coursera courses.

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friendly/mvinfluence

Influence Measures and Diagnostic Plots for Multivariate Linear Models

Language: R - Size: 4.73 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

julzerinos/python-fuzzy-cognitve-maps

Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.

Language: Python - Size: 5.6 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 7

gastonstat/stat154

STAT 154: Modern Statistical Prediction and Machine Learning

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faizan90/iaaftsa

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.

Language: Python - Size: 341 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saileshacharya1/multivariate-modeling-of-AV-interests

This is a release of data and analysis scripts of the "Private or on-demand autonomous vehicles? Modeling public interest using a multivariate model " research study.

Language: R - Size: 3.83 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elenlefoll/MultiFeatureTaggerEnglish

A Multi-Feature Tagger of English originally designed for multi-feature/multi-dimensional analysis (MDA) (Biber 1988; 1995) of situational variation in standard written and spoken English

Language: Perl - Size: 4.63 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

Soullevram/Multivariate-Statistical-Analysis

Application of multivariate statistical analysis to investigate the presence or absence of phenotypic variability in locally adapted Muscovy ducks

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indahpuspitaa17/Mathematics-for-Machine-Learning

Imperial College London - Mathematics for Machine Learning Course.

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Cbhihe/SmartCity_high-dim-statistical-learning

Multivariate statistical learning applied to high dimensional data

Language: R - Size: 313 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dorothy-nguyen/prosper-loan-exploration

This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.

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SAI-SRINIVASA-SUBRAMANYAM/machine_practices_problems

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diegoinacio/data-science-notebooks

✨ An authorial set of fundamental python recipes on Data Science and Analytics.

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Nemat-Allah-Aloush/Multivariate_Data_Analysis

Tasks for Multivariate Data Analysis Course at ITMO University

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AndrewLyasoff/SMAP

Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 21 - Forks: 7