Titlebook: Business Analytics Using R - A Practical Approach; Umesh R. Hodeghatta,Umesh Nayak Book 20171st edition Dr. Umesh R. Hodeghatta and Umesha

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https://doi.org/10.1007/978-94-017-6101-7te variable, you use a different regression method. If the response variable can take values such as yes/no or multiple discrete variables (for example, views such as strongly agree, agree, partially agree, and do not agree), you use logistic regression. You will explore logistic regression in a separate chapter.

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小故事

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Jingoism

,Big Data Analysis—Introduction and Future Trends,ed for thinking the value of it and use it to tell them the value the data has for them. Data is made to learn from itself and thus throw light on many that have been hitherto unknown or possibly a logically thinking person may not think of or accept at face value.

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GIST

Overview of Business Analytics,ervation, but also confirmed by actually doing and then extended by experimenting further. Knowledge thus gathered was applied to practical fields and extended by analogy to other fields. Today, knowledge is gathered and applied by analyzing, or deep-diving, into the data accumulated through various

ASSAY

凝乳

,Supervised Machine Learning—Classification,(or discrete values), whereas regression and other models predict continuous valued functions. For example, a classification model may be built to predict the results of a credit-card application approval process (credit card approved or denied) or to determine the outcome of an insurance claim. Man