Weka Machine Learning Mini-Course
Last Updated on August 22, 2019
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 a 14-part crash course into applied machine learning using the Weka platform without a single mathematical equation or line of programming code.
After completing this mini course:
- You will know how to work through a dataset end-to-end and deliver a set of predictions or a high-performance model.
- You will know your way around the Weka machine learning workbench including how to explore algorithms and design controlled experiments.
- You will know how to create multiple views of your problem, evaluate multiple algorithms and use statistics to choose the best performing model for your own predictive modeling problems.
Kick-start your project with my new book Machine Learning Mastery With Weka, including step-by-step tutorials and clear screenshots for all examples.
Let’s get started.
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