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Data Science with Python: Foundations of Machine Learning

Machine learning is one of the hottest fields in the world today. This course will teach you how to get started solving business problems using Python.

Amber Israelsen - Pluralsight course - Data Science with Python: Foundations of Machine Learning
by Amber Israelsen

What you'll learn

You’ve probably heard about how machine learning is shaping our world—from facial recognition to package delivery, from speech recognition to product recommendations. But how do you get started in this exciting field?

In this course, Data Science with Python: Foundations of Machine Learning, you’ll gain the ability to solve business problems using Python.

First, you’ll explore how to identify and frame various types of machine learning problems.

Next, you’ll discover how to train a machine learning model, using prepared data.

Finally, you’ll learn how to evaluate the performance of a machine learning model using various evaluation metrics.

When you’re finished with this course, you’ll have the skills and knowledge of the machine learning process to effectively build, train, and evaluate your own models using Python.

Table of contents

About the author

Amber Israelsen - Pluralsight course - Data Science with Python: Foundations of Machine Learning
Amber Israelsen

Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. She also focuses on user experience and professional skills training, bridging the gap between techies and non-techies.

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