Using R for Predictive Modeling in FinanceImage by Editor | Ideogram Predictive modeling in finance uses historical data to forecast future trends and outcomes. R, a powerful statistical programming language, provides a robust set of tools and libraries for financial analysis and modeling. This article explores the key techniques and packages in R that are commonly used for predictive modeling in finance. We’ll cover time series analysis, regression, machine learning, and portfolio optimization, along with a step-by-step guide to building […]

Last Updated on August 16, 2020 R is a powerful platform for data analysis and machine learning. It is my main workhorse for things like competitions and consulting work. The reason is the large amounts of powerful algorithms available, all on the one platform. In this post I want to point out some resources you can use to get started in R for machine learning. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials […]

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 […]

Last Updated on August 22, 2019 R is perhaps one of the most powerful and most popular platforms for statistical programming and applied machine learning. When you get serious about machine learning, you will find your way into R. In this post, you will discover what R is, where it came from and some of its most important features. Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files […]