- Level Intermediate
- Duration 3 hours
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Offered by
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In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Neural Net model to the data, and examine the results using a Confusion Matrix. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Auto Summary
Discover how to predict gas guzzlers using neural networks in this engaging, 1-hour project-based course. Designed for personal development, learners will delve into R functions, data distribution with ggplot2, and apply a Neural Net model to the MPG dataset, analyzing results with a Confusion Matrix. Ideal for professionals, this course is offered by Coursera and best suited for those in North America, with plans to expand globally. Available with a Starter subscription.