Become A Machine Learning Practitioner in 14-Days Machine learning is a fascinating study, but how do you actually use it on your own problems? You may be confused as to how best prepare your data for machine learning, which algorithms to use or how to choose one model over another. In this post you will discover […]

The Weka machine learning workbench is an easy to use and powerful platform for applied machine learning. Even though it is easy to use, you may still require some help or advice when using it on your own problems. In this post you will discover resources that you can use to get more help with […]

The fastest way to get good at applied machine learning is to practice on end-to-end projects. In this post you will discover how to work through a regression problem in Weka, end-to-end. After reading this post you will know: How to load and analyze a regression dataset in Weka. How to create multiple different transformed […]

The fastest way to get good at applied machine learning is to practice on end-to-end projects. In this post you will discover how to work through a binary classification problem in Weka, end-to-end. After reading this post you will know: How to load a dataset and analyze the loaded data. How to create multiple different […]

The Weka machine learning workbench is so easy to use that working through a machine learning project can be a lot of fun. In this post you will complete your first machine learning project using Weka, end-to-end. This gentle introduction to working through a project will tie together the key steps you need to complete […]

After you have found a well performing machine learning model and tuned it, you must finalize your model so that you can make predictions on new data. In this post you will discover how to finalize your machine learning model, save it to file and load it later in order to make predictions on new […]

You can get the most from a machine learning algorithm by tuning its parameters, called hyperparameters. In this post you will discover how to tune machine learning algorithms with controlled experiments in Weka. After reading this post you will know: The importance of improving the performance of machine learning models by algorithm tuning. How to […]

What algorithm should you use for a given machine learning problem? This is the challenge of applied machine learning. There is no quick answer to this question, but there is a reliable process that you can use. In this post you will discover how to find good and even best machine learning algorithms for a […]

Ensemble algorithms are a powerful class of machine learning algorithm that combine the predictions from multiple models. A benefit of using Weka for applied machine learning is that makes available so many different ensemble machine learning algorithms. In this post you will discover the how to use ensemble machine learning algorithms in Weka. After reading […]

Weka makes a large number of classification algorithms available. The large number of machine learning algorithms available is one of the benefits of using the Weka platform to work through your machine learning problems. In this post you will discover how to use 5 top machine learning algorithms in Weka. After reading this post you will […]