Introduction Regression is a statistical methodology that describes the relationships between a continuous explained variable and a set of explanatory variables. In other words, regression models are able to predict the value of a dependent variable y with respect to…
Introduction In the world of data science and analysis, time series are a key element, as they represent a very natural source of information: values of a magnitude at different points in time. This is why understanding their properties and…
Introduction I love writing posts for Damavis’s blog because it allows me to share my passion for Big Data and consulting. It’s also a great way to connect with other consultants and potential clients. I enjoy being able to provide…
Introduction Logistic regression is a statistical methodology that allows modeling the relationships between a binary categorical variable and a set of explanatory variables. Specifically, it models the probability that an observation belongs to one of the categories of that binary…
Introduction Human pose detection is a quite relevant task in the field of computer vision, which consists of identifying the pose of a human figure from an image. This pose is defined from a series of key points, usually joints,…
