Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of research findings. However, limitations on data sharing often prevent ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, high school grade point ...

The folders in this repository contain the data files used in our analysis for the paper "MicroMPN: methods and software for high-throughput screening of microbe suppression in mixed populations" ...

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries ...

Regression Games has raised $4.2 million to bring the power of AI to gaming and esports competitions. That’s pretty good for a 25-year-old solo entrepreneur with a two-month-old company. But Aaron ...