Age estimation is performed from the facial images.
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Updated
Sep 1, 2022 - MATLAB
Age estimation is performed from the facial images.
PLS-SEM Interactive Tutorial with cSEM R package
Model Selection Using PCR, PLSR, Best subsets, Ridge Regression and Lasso Regression
PCA, Clustering, LDA y PLS Regression aplicado a estadísticas de partidas reales de Fortnite.
Machine Learning Project
Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's x-y coordinates, semi-minor, and semi-major axes lengths.
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
Stratification of multi-label datasets
Computation of training set XTX and XTY in a cross-validation setting using the fast algorithms by Engstrøm (2024).
PLS Lesson
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Specialized linear, polynomial (including equality constraints on points and slopes), multivariate and nonlinear regression/curve fitting functions.
Prediction of Miles per gallon (MPG) Using Cars Dataset
This project is aimed at predicting loan terms issued by World Bank to developing countries by using Regression, Decision Trees, K-Nearest Neighbors & PLSR in R
Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733
An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can be grouped in themes.
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