machine learning

An introduction to ROC curves with animated examples

Overview Receiver operating characteristic (ROC) curves is one of the concepts I have struggled most. As a personal view, I do not find it intuitive or clear at first glance.

An introduction to uncertainty with Bayesian models

Overview In this post, we will get a first approximation to the “uncertainty” concept. First, we will train two models: logistic regression and its “Bayesian version” and compare their performance.

Can we predict cases of dengue with climate variables?

Recently, I discovered a new website about competitions that it is not called Kaggle! Its name is Drivendata. DrivenData offers different competitions related with multiple types of field, such as health (oh yes!