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You're reading from  R Machine Learning Projects

Product typeBook
Published inJan 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789807943
Edition1st Edition
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Author (1)
Dr. Sunil Kumar Chinnamgari
Dr. Sunil Kumar Chinnamgari
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Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.
Read more about Dr. Sunil Kumar Chinnamgari

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Building a recommendation system based on an association-rule mining technique

Association-rule mining, or market-basket analysis, is a very popular data mining technique used in the retail industry to identify the products that need to be kept together so as to encourage cross sales. An interesting aspect behind this algorithm is that historical invoices are mined to identify the products that are bought together.

There are several off-the-shelf algorithms available to perform market-basket analysis. Some of them are Apriori, equivalence class transformation (ECLAT), and frequent pattern growth (FP-growth). We will learn to solve our problem of recommending jokes to users through applying the Apriori algorithm on the Jester jokes dataset. We will now learn the theoretical aspects that underpin the Apriori algorithm.

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R Machine Learning Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789807943

Author (1)

author image
Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.
Read more about Dr. Sunil Kumar Chinnamgari