Using BigML: Unsupervised Learning

“BigML includes various unsupervised learning models used to gain insights into your data. These insights can help make pivotal business decisions or act as a starting point to build supervised learning models. In this course you ll build several unsupervised learning models and analyze the results they produce.
You ll start by creating clusters from a dataset and examining how data points within a cluster share similarities. You ll move on to uncover associations in a dataset about items purchased on an e-commerce platform. Next you ll apply topic modeling to extract the topics discussed in a collection of texts.
Following this you ll transform a dataset contAIning multiple fields into a handful of principal components using Principal Component Analysis or PCA. Finally you ll explore the detection of anomalies in your dataset.”