Difficulty
Basic
Course Length
4 hours
Instructor
OnDemand Moderation
Price
Free
Description
Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.
About This Course
This course introduces Cloudera Machine Learning and prepares learners to use it for data science and machine learning workflows with the Python or R language.
Course Length
This course includes 4.25 hours of video content. Exercises require access to your own CDP environment.
Audience
This course is intended for Python and R users at organizations running CML under a trial license or commercial license.
Requirements
To complete the hands-on exercises for this course, the learner must have access to a CML workspace on a CDP environment.
Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.
Objectives
Through narrated lecture and recorded demonstrations, you will learn how to:
- Create and customize projects in Cloudera Machine Learning (CML)
- Edit and run Python or R code in CML projects
- Load and transform data in CML using popular Python or R packages and using Apache Spark with PySpark or sparklyr
- Implement a machine learning workflow in CML by analyzing and visualizing data, training and testing a model, measuring and tracking the model, and deploying the model to generate predictions
- Use CML together with the Git version control system
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