Implementing Machine Learning Workflow with Weka

Weka is an open-source machine learning tool that can be used to build all parts of a machine learning process. This course, Implementing Machine Learning Workflow With Weka, will teach you how to use terminal applications and a Java API for training models. Weka is used in teaching, research, and industry. Next, you will explore building and evaluating classification models in Weka.Finally, you will implement unsupervised learning techniques in Weka and perform clustering using the k-means clustering algorithm, hierarchical clustering as well as expectation-maximization clustering.When you are finished with this course, you will have the knowledge and skills to build supervised and unsupervised machine learning models using the Weka Java library.