In this workshop, we'll start to explore Amazon SageMaker with a focus on data preparation and AutoML features including Autopilot, Data Wrangler, the Built-In Algorithms, and Automatic Hyperparameter Tuning
We'll review a tabular data classification use case: First applying SageMaker Autopilot to the raw dataset, and then experimenting with manual feature engineering and model tuning to see if you can achieve higher accuracy than Autopilot!