Classification Using Tree Based Models

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Cost $29/mo
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Classification Using Tree Based Models

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  • On demand

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Pluralsight online courses
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 ...
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. Courses give you the experience and skills you need to succeed on the job and grow your career. With downloadable exercise files, you can follow along with the video to practice applying your new skills. Pre- and post-course assessments track your progress. When you successfully complete a course, we you receive a certificate and an official transcript to validate and build your online resume.

Provider Subject Specialization
Sciences & Technology
Business & Management
10 reviews

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.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.