In this tutorial, I am going to show you how to apply machine learning on data collected from your IoT endpoints , in our case it is nodemcu. In the previous tutorial, we already got data from nodemcu on google spreadsheet using google apps script api. We connected a temperatures sensor to nodemcu, and we were updating the data on the google spreadsheet. We will be using jupyter notebook in this tutorial and write a python code that will predict the future temperature data based upon the data history we have.
Blog: http://iotmonk.com/courses/applying-machine-learning-on-iot-data/
Part1: http://iotmonk.com/lessons/applying-machine-learning-on-iot-data-part-1/
Part2: http://iotmonk.com/lessons/applying-machine-learning-on-iot-data-part-2/
Part3: http://iotmonk.com/lessons/applying-machine-learning-on-iot-data-part-3/