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Machine Learning In Banking Industries

   

Added on  2022-08-20

9 Pages1314 Words14 Views
Data Science and Big DataArtificial IntelligenceStatistics and Probability
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Running head: MACHINE LEARNING
Machine Learning
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Machine Learning In Banking Industries_1

Machine Learning2
Executive Summary
Machine learning is a field of science where computer performs task without been explicitly
programmed. Machine learning has got the power to think like human in many ways. The
objective of machine learning is to predict future instances which can benefit lot of industries
which depends of future outcome. Banking industries are one of such industry where these
analysis and prediction plays a crucial role. The purpose of these analysis is to find out the
potential customer who have the highest probability of purchasing the loan. Thus different
machine learning model have been implemented to know which model classify the classes more
accurately and also the AUC value and ROC curve also been shown during the analysis. At the
end a conclusion will be concluded regarding the analysis and outcomes of the analysis.
Machine Learning In Banking Industries_2

Machine Learning3
Table of Contents
Executive Summary.........................................................................................................................2
Introduction......................................................................................................................................4
Discussion........................................................................................................................................4
Conclusion.......................................................................................................................................8
References........................................................................................................................................9
Machine Learning In Banking Industries_3

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