Creating an Amazon SageMaker Autopilot limited experiment
Let's gets a hands-on introduction to applying AutoML using SageMaker Autopilot. We will download and apply AutoML to an open source dataset. Let's get started!
- From Amazon SageMaker Studio, start a data science notebook by clicking on the Python 3 button, as shown in the following screenshot:
Figure 7.1 – Amazon SageMaker Launcher main screen
Download the Bank Marketing dataset from UCI by calling the following URL retrieve commands and save it in your notebook:
Figure 7.2 – Amazon SageMaker Studio Jupyter Notebook – downloading the dataset
This Bank Marketing dataset is from a Portuguese banking institution and has the classification goal of predicting the client's subscription to deposit (binary feature, y). The dataset is from Moro, Cortez, and Rita's paper on "A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems", published...
