Guilherme Duarte Marmerola

interactive-intro-rl. Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

cfml_tools. My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

random-stuff. Random stuff I've been working on

advanced-bandit-problems. More about the exploration-exploitation tradeoff with harder bandits

r-tesouro-direto. Projeções de Investimentos no Tesouro Direto com R

big-data-ml-training. Code for "Training models when data doesn't fit in memory" post

forest-embeddings. Trying out forest-based data representations

treatment-effects. Code for treatment effect estimation

bayes-nets. My explorations regarding bayesian networks and structural causal models

dog-breeds-app. Simple app that predicts a dog's breed by searching the Stanford Dogs Dataset for similar dogs

titanic-ml. Solução para o desafio "Titanic: Machine Learning from Disaster" no Kaggle

unicamp-salarios. Análise da remuneração dos funcionários da Unicamp (junho/2015)

discovering_breed_with_ml. Code for Article "Solving the mystery of my dog's breed with ML"

santander-satisfaction. Solução para o desafio "Santander Customer Satisfaction" no Kaggle