This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems.
(101 avis)
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Il y a 9 modules dans ce cours
In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.
Inclus
1 vidéo3 lectures1 élément d'application
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.
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13 vidéos17 lectures6 devoirs3 éléments d'application
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.
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14 vidéos12 lectures8 devoirs6 éléments d'application
In this module, you learn to build decision tree models as well as models based on ensembles, or combinations, of decision trees.
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23 vidéos17 lectures11 devoirs6 éléments d'application
In this module, you learn to build neural network models.
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19 vidéos11 lectures6 devoirs3 éléments d'application
In this module, you learn to build support vector machine models.
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17 vidéos7 lectures5 devoirs4 éléments d'application
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.
Inclus
17 vidéos8 lectures6 devoirs6 éléments d'application
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2 vidéos4 lectures1 élément d'application
Inclus
1 élément d'application
Instructeurs
Offert par
Recommandé si vous êtes intéressé(e) par Machine Learning
Stanford University
University of Washington
University of California San Diego
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Avis des étudiants
101 avis
- 5 stars
76,23 %
- 4 stars
17,82 %
- 3 stars
5,94 %
- 2 stars
0 %
- 1 star
0 %
Affichage de 3 sur 101
Révisé le 5 janv. 2021
The content is great, although the platform failed after 5 days of inactivity. My account was deactivated and I was never able to recover it so I couldn't follow the tutorials.
Révisé le 13 mars 2020
This is a good course . SAS is the leader in the world of analytics.
Révisé le 13 sept. 2023
The instructors of this course did a great job in explaining SAS Viya tools to build machine pipelines. Kudos to Jeff, Catherine, and Andy for putting together an awesome course!
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