SAS
Machine Learning Using SAS Viya
SAS

Machine Learning Using SAS Viya

Taught in English

8,170 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Jeff Thompson
Catherine Truxillo

Instructors: Jeff Thompson

4.7

(100 reviews)

Intermediate level
Some related experience required
33 hours to complete
3 weeks at 11 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

41 quizzes

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There are 8 modules in this course

In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.

What's included

1 video3 readings1 app item

In this module, you learn how you can meet today's business challenges with machine learning using SAS® Viya®. You start working on the project that runs throughout the course.

What's included

15 videos16 readings6 quizzes3 app items

In this module, you learn to explore the data and finish preparing the data for analysis. You also learn some general considerations for selecting an algorithm.

What's included

14 videos12 readings8 quizzes8 app items

In this module, you learn to build decision tree models as well as models based on ensembles, or combinations, of decision trees.

What's included

23 videos14 readings10 quizzes7 app items

In this module, you learn to build neural network models.

What's included

19 videos9 readings6 quizzes4 app items

In this module, you learn to build support vector machine models.

What's included

17 videos5 readings5 quizzes5 app items

In this module, you learn how to select the model that best meets the requirements of your business challenge and put the model into production. You also learn about managing the model over time.

What's included

16 videos5 readings6 quizzes7 app items

What's included

1 video4 readings1 app item

Instructors

Instructor ratings
4.6 (17 ratings)
Jeff Thompson
SAS
1 Course8,170 learners
Catherine Truxillo
SAS
1 Course8,170 learners

Offered by

SAS

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4.7

100 reviews

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RM
5

Reviewed on Apr 7, 2020

SS
5

Reviewed on Mar 13, 2020

RM
5

Reviewed on Sep 13, 2023

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