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Predictive analytics is a term mainly used in statistical and
analytics techniques. This term is drawn from statistics,
machine learning, database techniques and optimization
techniques. It has roots in classical statistics. It predicts the
futur..
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Focus. This report is designed for the business or technical manager who oversees a BI environment and wishes to learn the best practices and pitfalls of implementing a predictive analytics capability. While it discusses some technical issues, it is ..
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Predictive analytics has come of age as a core enterprise practice necessary to sustain competitive advantage. This technology enacts a wholly new phase of enterprise evolution by applying organizational learning, which empowers the business to grow ..
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Context
The consumer credit department of a bank wants to automate the decisionmaking process for approval of home equity lines of credit. To do this, they will follow the recommendations of the Equal Credit Opportunity Act to create an empirically ..
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I have created this dataset to showcase the use of predictive modeling using the stock market as a case study. This dataset is designed to help and predict tomorrow's Amazon stock price. If you want to get the most updated dataset you will need to pu..
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Data mining is the process of discovering patterns and anomalies form large sets of data through the application of statistics, machine learning and database systems [17]. The objective of data mining is to extract the useful data fromdata set and pr..
