中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.
Machine Learning Using SAS Viya
您将获得的技能
- Data Processing
- Applied Machine Learning
- Data Cleansing
- Predictive Analytics
- Supervised Learning
- Machine Learning
- Artificial Neural Networks
- SAS (Software)
- Data Analysis
- No-Code Development
- Decision Tree Learning
- Statistical Machine Learning
- Predictive Modeling
- Random Forest Algorithm
- Statistical Programming
- Feature Engineering
- Performance Tuning
要了解的详细信息
可分享的证书
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作业
41 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有9个模块
In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.
涵盖的内容
1个视频4篇阅读材料1个应用程序项目
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.
涵盖的内容
13个视频17篇阅读材料6个作业3个应用程序项目
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.
涵盖的内容
14个视频12篇阅读材料7个作业7个应用程序项目
In this module, you learn to build decision tree models as well as models based on ensembles, or combinations, of decision trees.
涵盖的内容
23个视频17篇阅读材料11个作业7个应用程序项目
In this module, you learn to build neural network models.
涵盖的内容
19个视频11篇阅读材料6个作业3个应用程序项目
In this module, you learn to build support vector machine models.
涵盖的内容
17个视频7篇阅读材料5个作业4个应用程序项目
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.
涵盖的内容
17个视频8篇阅读材料6个作业7个应用程序项目
涵盖的内容
2个视频4篇阅读材料1个应用程序项目
涵盖的内容
1个应用程序项目
提供方
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人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.7
102 条评论
- 5 stars
76.47%
- 4 stars
17.64%
- 3 stars
5.88%
- 2 stars
0%
- 1 star
0%
显示 3/102 个
RM
5
已于 Sep 13, 2023审阅
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!
PD
5
已于 Jun 11, 2020审阅
A well designed and thoughtful course explaining the key concepts of machine learning
SS
5
已于 Mar 13, 2020审阅
This is a good course . SAS is the leader in the world of analytics.
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