Adaptive and automatic gradient boosting computations.

mlim: single and multiple imputation with automated machine learning

🌳 Stacked Gradient Boosting Machines

Machine Learning algorithms coded from scratch

Code repository for "A General Machine Learning Framework for Survival Analysis" published at ECML 2020

Solution for the Ultimate Student Hunt Challenge (1st place).

mfair: Matrix Factorization with Auxiliary Information in R

Solution for ENS - Societe Generale Challenge (1st place).

Extracción de viviendas del portal inmobiliario Idealista. Análisis de efectos geoespaciales en la modelización del precio de la vivienda en la ciudad de Madrid.

Gradient-Boosted Estimation of Generalized Linear Models for Conditional Vine Copulas

One Data Set with multiple Algorithms

VMWare-Analytics-Harward-Business-Case-Study-

Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods

Reverse engineered the pricing structure of a competitor using machine learning algorithm (Gradient Boosted Trees)

R package for machine learning classification model evaluation.

Driven Data Competition

Implementing Gradient Boosting & SuperLearner in R and compare the classification accuracy of the two methods.

K-means clustering and gradient boosting (XGBoost)