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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM23893

Loan Price Prediction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM23893

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AW

Akshay Waghmode

Sk

Sameer kakade

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Abstract

This project aims to develop a loan price prediction model using machine learning techniques. The context of the project lies in the financial sector, where accurate prediction of loan prices can assist lenders, borrowers, and investors in making informed decisions. The problem addressed is the difficulty in determining the fair price of loans due to various factors such as borrower creditworthiness, market conditions, and risk assessment. The solution proposed is to leverage machine learning algorithms and historical loan data to build a predictive model that can estimate loan prices based on relevant features.

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Cite This Article

Akshay Waghmode, Sameer kakade, "Loan Price Prediction," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

6/22/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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