cinarcy/semantic-recommender

# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️

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isaactpetersen/Principles-Psychological-Assessment

Repository for the Textbook: "Principles of Psychological Assessment: With Applied Examples in R"

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bioFAM/mofaflex

factor models for omics data

Language: Python - Size: 161 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 12 - Forks: 1

s1de-walker/Streamlit-Fin1

Factor Investing Tracker app | streamlit

Language: Python - Size: 1.14 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

yrosseel/lavaan

an R package for structural equation modeling and more

Language: R - Size: 9.69 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 464 - Forks: 109

EducationalTestingService/factor_analyzer

A Python module to perform exploratory & confirmatory factor analyses.

Language: Python - Size: 4.89 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 252 - Forks: 68

bioFAM/MOFA2

Multi-Omics Factor Analysis

Language: R - Size: 162 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 336 - Forks: 56

MaxHalford/prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Language: Python - Size: 8.4 MB - Last synced at: 18 days ago - Pushed at: 22 days ago - Stars: 1,366 - Forks: 188

JerBouma/FinanceToolkit

Transparent and Efficient Financial Analysis

Language: Python - Size: 236 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 3,593 - Forks: 416

MicheleCucinella/Statistics-for-High-Dimentional-Data

Assignment for Statistics and High Dimentional Data Exam

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cmerinos/facomplex

R package for identify complex structure in factor analysis output

Language: R - Size: 1.01 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

ecmerkle/blavaan

An R package for Bayesian structural equation modeling

Language: R - Size: 266 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 94 - Forks: 23

opentaps/open-climate-investing

Application and data for analyzing and structuring portfolios for climate investing.

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Teebusch/mifa

An R package providing multiple Imputation of covariance matrices in order to perform factor analysis.

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quantmeth/Rnest

Rnest : An R package for the Next Eigenvalue Sufficiency Tests (NEST)

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cjurban/deepirtools

Deep learning-based estimation and inference for item response theory models.

Language: Python - Size: 13.8 MB - Last synced at: 25 days ago - Pushed at: 8 months ago - Stars: 21 - Forks: 4

p-gw/FactorRotations.jl

Rotation methods for factor analysis and principal component analysis in Julia

Language: Julia - Size: 732 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 2

wnarifin/wnarifin.github.io

wnarifin.github.io hosts my lectures, files and R codes.

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Marcosjnez/bifactor

Fit exploratory factor models and bi-factor models with multiple general factors.

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inuyasha2012/pypsy

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

Language: Python - Size: 189 KB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 224 - Forks: 72

Heerozh/spectre

GPU-accelerated Factors analysis library and Backtester

Language: Python - Size: 3.35 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 680 - Forks: 114

matteo-serafino/dimensionality-reduction-package

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

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wjschne/ggdiagram

Object-oriented diagram plots with ggplot2

Language: R - Size: 49.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 32 - Forks: 0

m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

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aomdahl/gleanr_workflow

Sparse factorization framework to integrate GWAS studies and identify shared latent genetic components

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Vikascd/Netflix-Recommender-System

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

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julianschroeter/PyNovellaHistory

Modules with classes and functions for Computational literary text analysis, particularly a novella history

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Dylan-Stewart/Heart-Disease-Project

My final project for data mining

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je-suis-tm/machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

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jordanameacham/Marketing-Analysis-Fictitious-Beer-Company-

Marketing analysis on a fictitious beer company that wants to identify its target audience and develop a marketing strategy to cater to the identified audience.

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AurelioGuilherme/analise_fatorial_energia

Análise Fatorial Exploratória (AFE) para identificar estruturas latentes em dados de consumo mundial de energia.

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haziqj/lavaan.bingof

Limited Information Goodness of Fit Tests for Binary Factor Models

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Fie-Langmann/pulses21

Analytical code for pulses 2021 data

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gregversteeg/LinearCorex

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Language: Python - Size: 25.2 MB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 13

BNTechie/Data-preprocessing

Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.

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jamesuanhoro/minorbsem

An R package for Bayesian structural equation models that account for the influence of minor factors

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hdarjus/sparvaride

Variance Identification for Sparse Factor Analyses

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MWiechmann/efa_utils

Custom utility functions for exploratory factor analysis with the factor_analyzer package.

Language: Python - Size: 204 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

JBris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

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jhorzek/mxsem

A lavaan-like syntax for structural equation models with OpenMx

Language: R - Size: 1.79 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

haziqj/INLAvaan

An R package for Bayesian structural equation modeling using INLA

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genanicole/Co-branding-between-a-fashion-brand-and-a-hotel

Co-branding between a fashion brand and a hotel

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quantmeth/SCFA

Signal Cancelling Factor Analysis (SCFA)

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AkanshaRajput280799/Data-Driven-Insights-into-Job-Satisfaction-and-Compensation-Trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

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Alex-Markham/medil

mirror of the MeDIL Python package for causal modeling

Language: Python - Size: 39 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

Diego-HernSua/Unsupervised_StatisticalLearning

This project is based on selecting one open data set (about FIFA23 player's stats) where we are going to clean, visualize and finally apply different unsupervised learning tools in order to process and understand in a deep way the data contained in the data set.

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veneta13/Stress-Factors

Factor analysis, PCA and cluster analysis on student stress data.

Language: Jupyter Notebook - Size: 7.39 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

gragusa/Factotum.jl

A Julia package for estimating static factor models

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MarioUniverseZ/fjustat_111_grproject

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NanyeonK/Factor-Momentum-Reversal-and-Turning-Point

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mtopacio35/STA-135-Project

analysis of PimaIndiansDiabetes dataset in R, utilizing multivariate data techniques of QDA, PCA, factor analysis

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juliataborek/Polish-political-scene

Language: R - Size: 19 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

meixichen/fastr

Factor analysis of multi-neuron spike trains in R

Language: R - Size: 205 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

haverstein/Murder-Analysis-India

A Comparative Study and Analysis on Murders across the different states of India from 2015-2021. It looks into the patterns in motives and the possible socio economic factor affecting murder in India.

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TatevKaren/multivariate-statistics

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

Language: R - Size: 800 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 2

jamesuanhoro/bayesianmasem

A package for Bayesian meta-analytic SEM

Language: R - Size: 17.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Sharath0812/Tsunami-Data-Analysis

Objective: Analyze historical tsunami data to determine if climatic changes caused by global warming have impacted tsunami intensity or validity before and after 1900.

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SahilK-027/Factor-Analysis-Mini-Project

Mini project on Dimensionality Reduction

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brunomontezano/HCLpsychometrics

📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.

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tirthgala/Cluster-Analysis-for-Game-Selection

In this repository through advanced data analytics and market research assessed financial viability, customer behaviors, and market trends to form a strategic game acquisition recommendation. Process included market share simulation, cluster and factor analysis, GaborGranger pricing strategy, and customer segmentation.

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gepapago/Empirical-Research

Basic methodologies of Empirical Research applied on various case studies (R language)

Size: 46.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rnj0nes/HCAP

Data handling and factor analysis of the Harmonized Cognitive Assessment Protocol (HCAP) neuropsychological performance battery in the 2016 Health and Retirement Study

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mariazm/DS_MachineLearning

Public code of the ML course

Language: Python - Size: 13.7 KB - Last synced at: 7 months ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

seonghobae/kaefa

# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment

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benediktfesl/MFA_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Mixture of Factor Analyzers (MFA).

Language: Python - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Sagar-Darji/Personality-prediction

From the given database Find out the personality using this personality traits. Applications in psychology Factor analysis has been used in the study of human intelligence and human personality as a method for comparing the outcomes of (hopefully) objective tests and to construct matrices to define correlations between these outcomes, as well as finding the factors for these results. The field of psychology that measures human intelligence using quantitative testing in this way is known as psychometrics (psycho=mental, metrics=measurement). Advantages 1)Offers a much more objective method of testing traits such as intelligence in humans 2)Allows for a satisfactory comparison between the results of intelligence tests 3)Provides support for theories that would be difficult to prove otherwise

Language: Jupyter Notebook - Size: 382 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 5

fikrianggara/Multivariate-Analysis-on-R

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.

Language: R - Size: 2.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ctesta01/spearman_1904

Spearman's 1904 work on 'General Intelligence' launched the field of factor analysis into existence. This slide-deck discusses the details and aftermath.

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ForwardMoth/makrostat 📦

Introduction in Machine Learning

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

Kishawn-Dorman/Student-and-Client-Satisfaction-Report

first business data analysis - factors affecting student satisfaction and bank clients

Language: R - Size: 2.36 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

mancusolab/susiepca

Scalable Ultra-Sparse Bayesian PCA

Language: Python - Size: 207 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 5

artoo-git/indexDilemma

indexDilemma() function co-authored and Included in CRAN

Language: R - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

justinjjlee/julia-FactorAugmentedVectorAR.jl 📦

Implementation of Factor-augmented Vector Autoregressive process (FAVAR(p)).

Language: Julia - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

CFWP/FMradio

Factor Modeling for radiomics

Language: R - Size: 141 KB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 4

SPRstat/Analysis-of-Radiotherapy-Data

This was a course project for the course " Multivariate Data Analysis ".

Language: R - Size: 556 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Katsuvest/Statistician

Qualifications as a Statistician

Size: 198 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

krashr-ds/medicare-analysis

Medicare DeSYNPuf analysis Gamma regression cost modeling & risk adjustment, and multiple factor analysis exposing factors associated with health care spending

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

hgarud/Face_Classification

A comparative study between 5 different binary classification techniques.

Language: Python - Size: 106 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

ZechangSun/QFA

Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 1

jayjinnie/Finance-Analysis-for-Travel-Membership

2023년 신한은행 빅데이터 해커톤 | 2030을 위한 여행 멤버십 '나는 SOL로' 서비스

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Keefe-Murphy/IMIFA

Infinite Mixtures of Infinite Factor Analysers

Language: R - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

VivekAgrawl/USA_Home_price_Webapp

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AlexisDrch/clustering-reduction

Kmeans, EM and Neural Networks applied on reduced dataset using different dimensionality reduction algorithms.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Jhonattanln/Factor-Investing

Factor Investing - Brasilian assests

Language: Python - Size: 39.2 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

bmcmenamin/fa_kit

Factor Analysis Kit

Language: Python - Size: 2.53 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 19 - Forks: 5

RuwaidaAl/STAT4051

Statistical machine learning techniques

Size: 3.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

phonegapX/alphasickle

多因子指数增强策略/多因子全流程实现

Language: Python - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 170 - Forks: 93

egeminiani/penfa

R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection

Language: R - Size: 3.68 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

Fiza-Faiz/Service-Call-Prediction

The model tries to predict the number of sales calls that a maintenance company might be receiving based on climatic and weather conditions. The age of the car and the duration of connection with the company are also to be considered. The model tries to explore the important factors which are significant and help in getting a high accuracy of prediction.

Language: R - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Fiza-Faiz/Segmentation-of-Insurance-Clients

Segmentation of the clients of an insurance company based on the survey data received from the clients. The data contains variables such as trust, experience, hospitality, service and other such customer based information. The model uses factor analysis to find the most significant factors and then used them for the Hierarchical and K-means clustering of the clients.

Language: R - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

xinhe-lab/GSFA

R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.

Language: C++ - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1

aciobanusebi/s2fa

Simple-Supervised Factor Analysis

Language: R - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

atyams/FIFA2019_Analysis_from_coach_and_management

Performed Principal Component Analysis, Cluster models and Exploratory Factor Analysis on FIFA dataset to identify the clusters among players, latent variables of management, and coach perspective on this Multivariate DataSet.

Language: R - Size: 63.5 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

jerryxyx/AlphaTrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 275 - Forks: 125

cuiruifei/CopulaFactorModel

Inference for Gaussian copula factor models and its application to causal discovery.

Language: R - Size: 101 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 8

Rutatu/experimental_methods_II

Portfolio assignments mainly focused on how the general linear model (GLM) can be used for the analysis of brain scan data. 2019 spring semester at Aarhus University

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jpritikin/pcFactorStan

Stan Models for the Paired Comparison Factor Model

Language: R - Size: 243 KB - Last synced at: about 11 hours ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

krashr-ds/DS

python & R DS libraries and Jupyter Notebooks; ML & NLP code

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

LazarosAntonios/PCM-Analysis-in-R

This is a project I developed during my MSc. in UC3M. It is an R project that engages with commands on data visualisation, PCA, clustering and regression.

Language: R - Size: 2.95 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Garvit244/Factor-Analysis

Principle Component Analysis (PCA) with varimax rotation.

Language: Python - Size: 1.1 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 0