Principles of Machine Learning: Python Edition

Provided by Microsoft
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Intermediate
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Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.

Course Format:Instructor-Led
Start Date:Jan 1, 2019

What you will learn

After completing this course, you will be familiar with the following concepts and techniques:
  • Data exploration, preparation and cleaning
  • Supervised machine learning techniques
  • Unsupervised machine learning techniques
  • Model performance improvement

Overview

This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence.

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

Before you start

To complete this course successfully, you should have:
  • A basic knowledge of math
  • Some programming experience – Python is preferred.
  • A willingness to learn through self-paced study.
  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Feb 19, 2019

Meet Your Instructors

Frequently Asked Questions

Q: The prerequisites include Python Programming?
A: Python is used extensively in the machine learning and artificial intelligence fields. The practical elements of this course involve writing code in Python. For the most part, you’ll be given the code you need to complete the exercises; but a basic knowledge of Python syntax will improve your understanding of what’s going on in the labs and demonstrations. Consider taking course DAT208x: Introduction to Python for Data Science before taking this class.

Q: What hardware and software do I need to complete this class?
A: You will need a computer running Windows, Mac OSX, or Linux and a web browser. Optionally, you can install Python 3.x – but you will be able to complete the labs using a free online environment, so this is not required.

Q: Will I need a Microsoft Azure subscription to complete this class?
A: No. You will be able to complete the labs using a local Python installation or the Microsoft Azure Notebooks service, which is a free service that does not require an Azure subscription.

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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