list 6 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 24 hours in total

About the content

Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. 

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 R, Python, and Azure Machine Learning.

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Syllabus

  1. Explore classification
  2. Regression in machine learning
  3. How to improve supervised models
  4. Details on non-linear modeling
  5. Clustering
  6. Recommender systems
  7. The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning
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Instructors

Dr. Steve Elston
Managing Director
Quantia Analytics, LLC

Cynthia Rudin
Associate Professor
MIT and Duke

Graeme Malcolm
Senior Content Developer
Microsoft Learning Experiences

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Content Designer

Microsoft

Microsoft Corporation is an American multinational technology company headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer web browser.

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Platform

Edx

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