当サイト内の署名記事は、執筆者個人の責任で発表するものであり、経済産業研究所としての見解を示すものでは有りません。 掲載している肩書や数値、固有名詞などは、原則として初掲載当時のものです。当サイトのコンテンツを転載される場合は、事前 ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it here. It has much more functionality than we need, but it ...

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 purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with ...