These Jupyter notebooks are an introduction to some of the data science techniques that have applications in engineering.
The notebooks can be accessed interactively using binder.org here (click on Launch Binder):
Additional information on the concepts covered (and many others) can be found in these books:
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Data-Driven Science and Engineering by Brunton and Kutz. This excellent book covers all the topics of these notebooks and contains many Matlab examples.
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Linear Algebra and Its Applications by Strang. A classic text on linear algebra.