This document is a 15,007 word project report submitted by Shreyas Sinha on August 30, 2019 analyzing home loan eligibility using Python. The report details Sinha's analysis of factors like income, expenses, existing debts that determine a customer's eligibility for a home loan and presents the findings of modeling this analysis using Python.
Plagiarism percentage - 3% for project report - Home Loan eligibility_shreyas sinha
1. Project Report-Shreyas Sinha
by Shreyas Sinha
Submission date: 30-Aug-2019 09:54AM (UTC+0530)
Submission ID: 1165137561
File name: Project Report on Home Loan Eligibility Analysis using Python 19th.docx (1.07M)
Word count: 15007
Character count: 72872
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Project Report-Shreyas Sinha
ORIGINALITY REPORT
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Robert Johansson. "Numerical Python",
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Springer Science and Business Media LLC,
2015
Publication
Submitted to Institute of Management
Technology
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Submitted to National College of Ireland
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