Jul 12, 2025 · Predictive analysis in R Language is a branch of analysis which uses statistics operations to analyze historical facts to make predict future events. It is a common term used in data mining and …

After reading this chapter, you will be able to use R to: Make forecasts based on time series data. In many ways, modern predictive modelling differs from the more traditional inference problems that we …

Jun 26, 2025 · Choosing and validating a predictive model in R helps you make accurate predictions. You first look to understand your data, and then you choose the right model.

Feb 21, 2024 · R, a powerful and open-source programming language, stands out as a preferred tool for predictive modeling due to its rich statistical capabilities and extensive libraries. This guide will walk …

By the end of this 2-hour-long project, you will be able to build and interpret the result of a simple linear regression model in R. Also, you will learn how to perform model assessments and check for …

By the end of this book, you will have explored and tested the most popular modeling techniques in use on real- world datasets and mastered a diverse range of techniques in predictive analytics using R.

In this course, you will work through the basic methods of predictive analytics, including generating descriptives, visualization, single and multiple regression, and logistic regression.

Grow your expertise in using R and its diverse range of packages. Learn how to classify predictive models and distinguish which models are suitable for a particular problem.

The following tutorials walk you through common forms of predictive analytics.

Data analytics has become vital for many organisations who strive for making data-based decisions. Read about Predictive Modelling with R.