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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 3, MARCH 2022

Analytics of Lending

Shraddha Shrivastava, Harsh Gupta, Garwit Choudhary

DOI: 10.17148/IJARCCE.2022.11344

Abstract: Lending Club (LC) is a Peer-to-Peer lending company acting as a loan originator and a web platform between borrowers and investors. Marketplace lending relies on large-scale loan screening and information production by investors, a major deviation from the traditional banking paradigm. Theoretically, the participation of sophisticated investors in marketplace lending increases volumes and improves screening outcomes, but also creates adverse selection to less sophisticated investors. In this project we will analyze the factors in relation with lending of various types of loans and reach conclusions based upon that.

Keywords: Exploratory Data Analysis, Python, Jupyter, Numpy and Pandas

How to Cite:

[1] Shraddha Shrivastava, Harsh Gupta, Garwit Choudhary, “Analytics of Lending,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11344