Principles of Machine Learning: Python Edition

Graeme Malcolm, Steve Elston, Cynthia Rudin, Jonathan Sanito, Microsoft

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

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.

Note : These courses will retire in June. Please enroll only if you are able to finish your coursework in time.

What will you 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

Dates:
  • 1 April 2020
Course properties:
  • Free:
  • Paid:
  • Certificate:
  • MOOC:
  • Video:
  • Audio:
  • Email-course:
  • Language: English Gb

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