Bayesian Factor Analysis using Gibbs sampling

Simple-Supervised Factor Analysis

Factor Analysis for survey data

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.

A lavaan-like syntax for structural equation models with OpenMx

A comparative study between 5 different binary classification techniques.

Segmentation of Credit Card Customers

Case Study- Segmentation

Factor analytics techniques employed in R, including EFA and CFA, to analyze Martin & Doris's (2003) research on the development of a psychometric instrument measuring individual styles of humor.

Variance Identification for Sparse Factor Analyses

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.

Exploring Gene Expression Features through Factor and Cluster Analysis in Breast Cancer Patients.

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

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

ML algorithms implemented in Python

This is analysis done to study the canine species based on the Skull measurements obtained for the different species of the canines. All kinds of multivariate analyses are done on this species.

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 pr…

Repo for analisis faktor

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