You must be able to load your data before you can start modeling it. In this post you will discover how you can load your CSV dataset in Weka. After reading this post, you will know: About the ARFF file format and how it is the default way to represent data in Weka. How to […]
Weka is an easy to use and powerful machine learning platform. It provides a large number of machine learning algorithms, feature selection methods and data preparation filters. In this post you will discover the Weka machine learning workbench and take a tour of the key interfaces that you can use on your machine learning projects. After […]
The Weka machine learning workbench is a powerful and yet easy to use platform for predictive modeling. In this post you will discover how you can install Weka on your workstation fast, and get started with machine learning. After reading this post you will know: How to install the all-in-one version of Weka for Windows […]
Why start with Weka over another tool like the R environment or Python for applied machine learning? In this post you will discover why Weka is the perfect platform for beginners interested in rapidly getting good at applied machine learning. After reading this post you will know: Why getting started in applied machine learning is hard. […]
This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 3 in a 3 part series on modeling the famous Pima Indians Diabetes dataset that will investigate improvements to the classification accuracy and present final results (update: download from here). In Part 1 we defined the problem […]
This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 2 in a 3 part series on modeling the famous Pima Indians Diabetes dataset (update: download from here). In Part 1 we defined the problem and looked at the dataset, describing observations from the patterns we […]
This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 1 in a 3 part series on modeling the famous Pima Indians Diabetes dataset that will introduce the problem and the data. Part 2 will investigate feature selection and spot checking algorithms and Part 3 in […]
The promise of Data Mining was that algorithms would crunch data and find interesting patterns that you could exploit in your business. The exemplar of this promise is market basket analysis (Wikipedia calls it affinity analysis). Given a pile of transactional records, discover interesting purchasing patterns that could be exploited in the store, such as offers […]
Working on a problem, you are always looking to get the most out of the data that you have available. You want the best accuracy you can get. Typically, the biggest wins are in better understanding the problem you are solving. This is why I stress you spend so much time up front defining your […]
When I first got started in machine learning I implemented algorithms by hand. It was really slow going. I was a terrible programmer at the time. I was trying to figure out the algorithms from books, how to use them on problems and how to write code – all at the same time. This was […]
