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 youll build several unsupervised learning models and analyze the results they produce. Youll start by creating clusters from a dataset and examining how data points within a cluster share similarities. Youll move on to uncover associations in a dataset about items purchased on an e-commerce platform. Next youll apply topic modeling to extract the topics discussed in a collection of texts. Following this youll transform a dataset containing multiple fields into a handful of principal components using Principal Component Analysis or PCA. Finally youll explore the detection of anomalies in your dataset.