From the course: Debiasing AI Using Amazon SageMaker
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Inspect and visualize data
From the course: Debiasing AI Using Amazon SageMaker
Inspect and visualize data
- [Instructor] Let's use a Jupyter Notebook to inspect, visualize, and clean our data. In order to start the process, I've loaded the initial crime data to an S3 bucket. So I've created a bucket called LinkedIn-sagemaker, and I've loaded the crime-data.csv file. Now, this file can be found in the Exercise Files folder. Let's visualize our data. The first step is to go to the SageMaker console, so let's navigate there. And then click on Notebook instances. On this screen, you can create a new notebook or open an existing notebook. So I've previously created a notebook instance called Crime-Prediction, so let's open the notebook by clicking on Open Jupyter. And then click on London Crime. So the code for this notebook can be found in the exercises folder, and you can upload that notebook file and follow along with me. The filename is London Crime-final.ipynb, but let me show you how to import that first. So let's close out of this. The first step you'll need to do in order to import…
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