Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Efficient non-linear PCA through kernel PCA with the Nyström method

Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani

Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

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.)

Model Selection Using PCR, PLSR, Best subsets, Ridge Regression and Lasso Regression

This repository focuses on different linear regression methods which are uncommon.

Machine Learning Project

Investigation of differences in the levels of development of the labour and employment field among the OECD member countries