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Welcome to Moontracer

We are very excited for your first day working in lunar energy technology. In this workshop, you will learn more about your role in helping the whole planet be more efficient. With our innovations, the moon can be tracked with more accuracy and precision than ever, making energy collection more reliable than ever. However, harvesting moon energy is not an easy task. Battery outages, motor anomalies and other failures can be caused by weather conditions, lack of moon visibility and other circumstances. This notebook contains data collected directly from thousands of our devices, along with the basics of our technology. Your goal is prevent issues and ensure timely maintenance of our whole fleet. Ready?

Disclaimers

This workshop creates AWS resources that may incur in costs. Only run this workshop on accounts prepared for educational or personal purposes. This project is not sponsored or supported by Amazon or its affiliates. The text, code and opinions in this open-source respository are exclusive from its contributors.

Go!

This workshop can be executed in a Amazon Sagemaker notebook instance, that you can launch with the link below:

You can use the default values for all parameters, check the box to acknowledge the creation of the IAM role, and create the stack. It should take about five minutes for the stack to reach the CREATE_COMPLETE state. Once the stack is created you'll find a link to the first notebook in the "Outputs" tab.

If your notebook instance prompts you to select a kernel, please select the "conda_python3" kernel.

Enjoy the workshop!

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