This is a basic example of how Kalman filter works in Python. I do plan on refactoring and expanding this repo in the future.
A great series on Kalman Filters which I have been following can be found here. The example I'm using can also be found in the same video.
Simply run:
python kalman.py
to get started. A plot should be generated with sensor and predicted values. The true value (assumed to be unknown) is 72.
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