Build multiple predictive models of FIES2015

The task of assignment.

Assuming that you are a data analyst of an international bank supporting the country economy division. You have tasked to build a model to predict household income of Philippine by using

the latest Family Income and Expenditure Survey (FIES) data. According to McGee Lee, the

Chief Data Scientist of the bank, the final selected predictive mode,l should not be overly

complex. You are required to build multiple predictive models by using different predictive

modelling techniques. In order to assess the performance of the predictive models, he further

recommended that a single performance criterion should be used for model assessment.

SAS Enterprise Miner is the only analytical toolkit available in the bank. You are required to

complete the modelling task by using SAS Enterprise Miner.

Evner: Datasøgning, SAS

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Om arbejdsgiveren:
( 3 bedømmelser ) Singapore, Singapore

Projekt ID: #18149090

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I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/ Flere

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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Flere

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PhD in statistics having seven years of experience in SAS and Data mining.

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