Classification Using Tree Based Models
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Course Details
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Pluralsight online courses
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Pluralsight's mission is to publish high quality online training courses for
professional developers, IT admins and creative artists. Over 750,000
Learners have already made use of the 3,500+ Courses available in this
extensive library.
Pluralsight delivers world-class training that¹s easy to comprehend and quick
to learn. That¹s the beauty of being taught by experts. Course authors are an
elite group of tech and creative professionals, innovators and leaders. As a
subscriber, you are connected with authors through discussion boards for
ongoing, real-time learning.
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Provider Subject Specialization
Sciences & Technology
Business & Management
Course Description
Machine Learning can sound very complicated, but anyone with a will to learn can successfully apply it, if they approach it from first principles. This course, Classification Using Tree Based Models, covers a specific class of Machine Learning problems - classification problems and how to solve these problems using Tree based models. First, you'll learn about building and visualizing decision trees as well as recognizing the serious problem of overfitting and its causes. Next, you'll learn about using ensemble learning to overcome overfitting. Finally, you'll explore 2 specific ensemble learning techniques - Random Forests and Gradient boosted trees By the end of this course, you'll be able to recognize opportunities where you can use Tree based models to solve classification problems and measure how well your solution is doing.