This Jupyter Notebook collection is designed to support students understand the Linear Regression model defined in the NESA Software Engineering Course Specifications pg 28. Several versions have been ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns.

It offers a collaborative environment for teams to work together on ML projects, with tools like shared notebooks ... including function regression, pattern recognition, time series forecasting, and ...