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International Journal For Multidisciplinary Research
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Loan Prediction Using Machine Learning Algorithms
Author(s) | Sanika Narayanpethkar, S. Chandana, M. Rishitha, Preethi Jeevan |
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Country | India |
Abstract | Loans are a major prerequisite in the present-day world. By this, as it were, Banks get a major portion of the entire benefit. It is advantageous for understudies to oversee their instruction and living costs, and for individuals to purchase any kind of extravagance like houses, cars, etc. But when it comes to choosing whether the applicant's profile is pertinent to be allowed a credit or not. Banks must see many aspects. Giving credit is the most commerce of banks. A noteworthy parcel of the bank's income comes straightforwardly from benefits from credits. Indeed, on the off chance that the bank favors the advance after the confirmation and certification relapses prepare, it cannot be beyond any doubt that the chosen candidate is the genuine candidate. Doing this handle physically requires unused time. Able to anticipate whether. a specific candidate is secure, and the whole confirmation handle is automatized with the machine. fashion. After the presentation of innovation to the world everything began to be automatized. With the introduction of machine learning, the world has seen a modern side of innovation. When the diversion of the forecast is played, machine learning gives a few of the most excellent. models to test the information for the exactness of the result. A few of them are broadly utilized. Machine learning calculations are Decision trees, support vector machine, logistic regression, random forest, etc. |
Keywords | Decision trees, support vector machine, logistic regression, random forest, data pre-processing, training and testing data |
Field | Engineering |
Published In | Volume 5, Issue 3, May-June 2023 |
Published On | 2023-05-12 |
Cite This | Loan Prediction Using Machine Learning Algorithms - Sanika Narayanpethkar, S. Chandana, M. Rishitha, Preethi Jeevan - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.2970 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i03.2970 |
Short DOI | https://doi.org/gr77pt |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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