lbenitesanchez Goto Github PK

aldqr

EM algorithm for estimation of parameters and other methods in a quantile regression.

altacv

Yet another alternative curriculum vitae/résumé class with LaTeX

article

arules

Mining Association Rules and Frequent Itemsets with R

bssn

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.

censmixreg

Fit censored linear regression models where the random errors follow a finite mixture of Normal or Student-t distributions. Fit censored linear models of finite mixture multivariate Student-t and Normal distributions.

contamadrid-analytics

Analytics of contamadrid project

convolutionalneuralnetwork-quick

This repository provides a library and a demo to create Convolutional Neural Networks in tensorflow quickly. Only create a dictionary and a list.

cursoarduinojohannpereze

El mejor y más completo curso de arduino en español para YouTube

data-engineer-resume-latex

A LaTeX resume template, tailored for the recent graduate who aspires to be a Data Scientist/Engineer.

fmsmsnreg

Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.

getlattesdata

R package for reading data from Lattes

grupo-periodismodatos

Grupo de Periodismo de Datos de Medialab-Prado

homlr

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

imarpe

imarpeTools

julia-doc-pt_br

A Brazilian Portuguese translation of the Julia documentation

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

lbenitesanchez.github.io

lqr

It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Bottai et.al.(2009) <doi:10.1002/sim.3781>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.

machine-learning-coursera-1

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.

nyc-taxi-data

Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R

nyc-taxi-tips

Analysis of public dataset about yellow taxi trips in New York City

nyc_green_taxi

Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare

phd-thesis

This is my PhD Thesis along with supplementary files.

rimac-data-science-challenge

1st Place Solution code for the Rimac Data Science Challenge (https://www.rimacchallenge.com/en/)

shinygs

Aplicación en Shiny para extraer datos de perfiles en Google Scholar

ssmn

Performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.

ssmsn

It provides the density and random number generator for the Scale-Shape Mixtures of Skew-Normal Distributions proposed by Jamalizadeh and Lin (2016) <doi:10.1007/s00180-016-0691-1>.

thesis_graduate

vscode-reveal

Revealjs vsCode extension