Practical Data Science using Python - EDA Project - 7

Practical Data Science using Python - EDA Project - 7

Assessment

Interactive Video

Information Technology (IT), Architecture, Business

University

Hard

Created by

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The video tutorial explores the impact of various financial features on loan default ratios, focusing on Debt to Income (DTI) ratio, employment tenure, public records, total accounts, loan purposes, and interest rates. Through visualizations and data analysis, it identifies key insights and correlations, providing actionable information for Lending Club to address high default rates.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the interest rate affect the default ratio according to the analysis?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What were the findings regarding the annual income of borrowers in relation to default rates?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What observations were made about the funded amount and its correlation with default ratios?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What recommendations can be made to Lending Club based on the analysis of default ratios?

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