Understanding Machine Learning with R 3
Offered By: Pluralsight
Course Description
Overview
This course walks through the process of creating a machine learning prediction solution. The course introduces and uses R, the primary language for Machine Learning.
In this course, you will learn how developers and Data Scientists use Machine Learning to predict events based on data. Specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course we will use R, one of the best known Machine Learning languages. No previous R experience is required.
In this course, you will learn how developers and Data Scientists use Machine Learning to predict events based on data. Specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course we will use R, one of the best known Machine Learning languages. No previous R experience is required.
Syllabus
- Course Overview 1min
- Understanding Machine Learning With R 11mins
- Understanding the Machine Learning Workflow 4mins
- Asking the Right Question 5mins
- Preparing Your Data 20mins
- Selecting Your Algorithm 10mins
- Training the Model 13mins
- Testing Your Model's Accuracy 11mins
- Summary 5mins
Taught by
Jerry Kurata
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