This is a quick tutorial with an example dataset on regressions in R. With this tutorial, you will be able to run linear regression models, get r-squared and p-values, and make appropriate figures. If ...

In this tutorial, I implement Logistic Regression with Python. I build a Logistic Regression classifier to predict a tumour as malignant or benign. I train a binary classification model using Logistic ...

This tutorial introduces the reader to Gaussian process regression as an expressive tool to model, actively explore and exploit unknown functions. Gaussian process regression is a powerful, ...

Generalized linear mixed models are handy tools for statistical inference, and Bayesian approaches to applying these become increasingly popular. This tutorial provides an accessible, non-technical ...