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You’ve probably heard about machine learning before, but have you ever
wondered what that term really means? How does a machine learn? Have you
thought about building a machine learning model, but didn’t know where
to start? In this course, Frederick Nwanganga introduces machine
learning in an approachable way and provides step-by-step guidance on
how to get started with machine learning via the most in-demand language
in use today, Python. Frederick starts with exactly what it means for
machines to learn and the different ways they learn, then gets into how
to collect, understand, and prepare data for machine learning. He also
provides guided examples of how to accomplish each step using Python.
Finally, he brings it all together to build, evaluate, and interpret the
results of a machine learning model in Python.


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