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In this tutorial, we will apply Machine Learning on IoT (Internet of Things) data for data prediction that we collect through our sensor.
Link to manual:
Introduction:
http://iotmonk.com/courses/applying-machine-learning-on-iot-data/
Part 1 Code:
http://iotmonk.com/lessons/applying-machine-learning-on-iot-data-part-1/
In the tutorial we use the following components:
Google Spreadsheet (to store data)
Google Script Editor (to create an API used to insert data into a Google Spreadsheet)
Jupyter Notebook (This is an interactive computational environment, where you can combine code execution, rich text, mathematics, graphs and rich media. Basically an environment where we apply machine learning to IoT (Internet of Things) Data)
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