Exact Spike Inference Via L0 Optimization

Penalized precision matrix estimation

Pipes Rollup outputs to Lasso

Pred on Stock Index

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

R code for figures, simulations and application in my Masters thesis and corresponding conference paper on the LASSO and other shrinkage methods

This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:

Lasso 'use-strict' transform

Please read the readme.md file

Lasso plugin to transform JS using Buble.

Using Multiple Linear Regression and Lasso Regression (Linear Regression with L1 norm) to predict bike rentals by registered users based on weather and time criteria.

In this paper I will initially retrace the path marked by Ray C. Fair with his long lasting series of presidential elections forecasts exploiting the same variables he uses but enriching the model with panel data. Exploiting the Fixed Effects estimation I will then add new variables that, according to our intuition, could lead to an overall impr…

Hand-made R Functions Mainly for Statistical Data Analysis

Machine Learning Project

A summative coursework for MAS8404 Statistical Learning for Data Science

Nonparametric P-Value Estimation for Predictors in Lasso

A Babel codemod that acts as a build / compile time optimizer for Lasso JS. Gives Lasso JS some extra arms.

King County House Sales

subsample-order least-angle regression, a algorithm that performs quick, sparse, stable and accurate variable selection for ultrahigh dimensional data under complicated dependence structures, harsh irrepresentable conditions and high multicollinearity.