Practical Data Science with Amazon SageMaker

lt;pgt;You will learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use case includes customer retention analysis to inform customer loyalty programslt;/pgt;lt;pgt; lt;/pgt;lt;h4gt;Activitieslt;/h4gt;lt;pgt;This course includes presentations, group exercises, and hands-on labs.lt;/pgt;lt;pgt; lt;/pgt;lt;pgt;lt;h4gt;Intended audiencelt;/h4gt;lt;pgt; lt;/pgt;lt;pgt;This course is intended for:lt;/pgt;lt;pgt; lt;/pgt;lt;ulgt;lt;ligt;Developerslt;/ligt;lt;ligt;Data Scientistslt;/ligt;lt;/ulgt;lt;/pgt;lt;pgt; lt;/pgt;