Tag Archives: Data Science in R

Linear, Lasso, and Ridge Regression with R

Linear, Lasso, and Ridge Regression with R   Introduction Machine learning is used by many organizations to identify and solve business problems. The two types of supervised machine learning algorithms are classification and regression. This guide will focus on regression models that predict a continuous outcome. You’ll learn how to implement linear and regularized regression models using R. …

Splitting and Combining Data with R

Splitting and Combining Data with R   Introduction In real-world data science projects, it is often necessary to divide data into two or more subsets or to combine multiple sets into one. This is an integral part of the data wrangling process for predictive modeling. In this guide, you will learn techniques for splitting and …