Data cleaning, missing value handle, EDA use in this project

Overview

Lending Club Case Study

Project Brief Solving this assignment will give you an idea about how real business problems are solved using EDA. In this case study, apart from applying the techniques you have learnt in EDA, you will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.

General Information

  • In lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile.
  • i use Loan.csv to solve this business probleams

Conclusions

  • Low grade is high chance to defualters
  • Rented and morgaze home applicant high chance to be defualters
  • CA state applicant high chance to be defualters
  • Major applicant apply for debt_con. purpose they have major chances to be defualters
Owner
Dhruvil Sheth
Dhruvil Sheth
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