I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

We developed affinity regression, a machine-learning approach to predict the nucleic acid recognition code for TF or RBP families directly from protein sequence and probe-level binding data from ...

The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis. We will continue to use the ...

Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

DTSA 5011 Modern Regression Analysis in R DTSA 5011 Modern Regression Analysis in R Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, ...