Last Updated on August 22, 2019 A valuable exercise when learning and practicing machine learning is to study how others apply methods and solve problems. It’s valuable because you can learn about new processes, software, graphs, and algorithms. But it is new ways of thinking about the process of solving problems with machine learning that is the most valuable part of the exercise. In this post you will review Curt Wehrley approach for predicting passenger survival on the Titanic, a […]

Last Updated on August 15, 2020 In this post you will discover 4 recipes for linear regression for the R platform. You can copy and paste the recipes in this post to make a jump-start on your own problem or to learn and practice with linear regression in R. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples. Let’s get started. Ordinary Least Squares RegressionSome […]

Last Updated on August 15, 2020 In this post you will discover 3 recipes for penalized regression for the R platform. You can copy and paste the recipes in this post to make a jump-start on your own problem or to learn and practice with linear regression in R. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples. Let’s get started. Penalized RegressionPhoto by Bay Area […]

Last Updated on August 15, 2020 In this post you will discover 4 recipes for non-linear regression in R. There are many advanced methods you can use for non-linear regression, and these recipes are but a sample of the methods you could use. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples. Let’s get started. Non-Linear RegressionPhoto by Steve Jurvetson, some rights reserved Each example […]

Last Updated on August 15, 2020 In this post, you will discover 8 recipes for non-linear regression with decision trees in R. Each example in this post uses the longley dataset provided in the datasets package that comes with R. The longley dataset describes 7 economic variables observed from 1947 to 1962 used to predict the number of people employed yearly. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all […]

Last Updated on August 22, 2019 In this post you will discover recipes for 3 linear classification algorithms in R. All recipes in this post use the iris flowers dataset provided with R in the datasets package. The dataset describes the measurements if iris flowers and requires classification of each observation to one of three flower species. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all […]

Last Updated on August 22, 2019 In this post you will discover 8 recipes for non-linear classification in R. Each recipe is ready for you to copy and paste and modify for your own problem. All recipes in this post use the iris flowers dataset provided with R in the datasets package. The dataset describes the measurements if iris flowers and requires classification of each observation to one of three flower species. Kick-start your project with my new book Machine Learning Mastery With […]