Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules
Issued by
Statistics.com
The earner of this badge is able to identify the issues related to using too many predictors (the "curse of dimensionality"); use principal components analysis to reduce the number of predictors to a smaller number of "components" of correlated predictors; use hierarchical clustering and k-means clustering to find and describe clusters of similar records; use association rules to find patterns of "what goes with what" in transaction data; and combine unsupervised and supervised learning methods.
- Type Validation
- Time Months
Skills
Earning Criteria
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Complete the Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules course.
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Achieve a minimum passing score of 70 percent on quizzes, case studies, and a final project.
Endorsements
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American Council on Education CREDIT
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 3 college credits. For more information about ACE CREDIT evaluations, visit www.acenet.edu. -
American Council on Education CREDIT
3 semester hours in business analytics, predictive analytics or data mining in the upper-division undergraduate category