Predictive Modeling and Machine Learning with MATLAB

Predictive Modeling and Machine Learning with MATLAB

Predictive Modeling and Machine Learning with MATLAB This course is part of Practical Data Science with MATLAB Specialization Taught in English 22 languages available Some content may not be translated Instructors: Michael Reardon +10 more Close Instructors Instructor ratings We asked all learners to give feedback on our instructors based on the quality of their

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Description

Predictive Modeling and Machine Learning with MATLAB

In recent years, the field of predictive modeling and machine learning has seen tremendous growth and development, thanks in large part to the ever-increasing availability of data and the advancements in computational power. One tool that has been particularly instrumental in this evolution is MATLAB, a high-level programming language and interactive environment that is widely used in scientific and engineering applications.

MATLAB provides a comprehensive set of tools and functions that make it easy to implement machine learning algorithms and build predictive models. With its intuitive and user-friendly interface, even those without extensive programming experience can quickly get up to speed and start developing powerful machine learning solutions.

One of the key strengths of MATLAB in the realm of predictive modeling and machine learning is its extensive collection of built-in algorithms. From

Predictive Modeling and Machine Learning with MATLAB

This course is part of Practical Data Science with MATLAB Specialization

Taught in English

Some content may not be translated

Michael Reardon
Maria Gavilan-Alfonso
Erin Byrne

Instructors: Michael Reardon

14,907 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(111 reviews)

Intermediate level
Some related experience required
22 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Apply a full machine learning workflow, from cleaning data to training & evaluating models using a real-world dataset

  • Use apps to quickly train many machine learning models to find the best approach for your application

  • Customize training using cost matrices to emphasize important classes

Details to know

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Assessments

9 quizzes

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