Implementing Machine Learning Workflow with RapidMiner
Implementing Machine Learning Workflow with RapidMiner
Duration: 2h 23m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 420 MB
Genre: eLearning | Language: English
Duration: 2h 23m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 420 MB
Genre: eLearning | Language: English
In this course, you will learn how you can develop your machine learning workflow using RapidMiner Studio, a data science platform for data preparation, machine learning, and predictive model deployment.
RapidMiner Studio provides an integrated development environment for data visualization, data preparation, machine learning, and deployment. In this course, Implementing Machine Learning Workflow with RapidMiner, you will get an overview of how you can use drag-n-drop operators to build and train machine learning models.