Machine Learning for Data Analysis

Wesleyan University
via Coursera
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Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Instructor(s)

Jen Rose, Lisa Dierker
Wesleyan University
via Coursera
Free (audit)
English
Paid Certificate Available
Approx. 10 hours to complete
Self paced
Subtitles: Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish