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Machine Learning Python

Published on the December 30, 2020 in IT & Programming

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Credit Risk Analysis

Analyzing the troubled lenders with this problem by
creating a model that can help them make their decision. The lenders also provided the following dataset that you can use.

Project overview

Given the dataset above, please create a model to rank the loan applicants based on their repayment capability. The rank will then be used to choose who are eligible for a loan, lower interest rate and higher credit limit. Consider the following points when you are creating the model: ● Describe the data pre-processing step that you did ● Choose the most appropriate metrics to measure the model performance and provide explanation on why you choose them ● Choose 3 of the most important features (original or derived features) and explain how and why they are important ● Choose the most appropriate model and provide explanation on why and how the model can solve the lenders problem ● Submit the model and all the analysis that you made complete with the test set result (Accuracy, Precision/Recall, F1, AUC, etc)

Category IT & Programming
Subcategory Data Science
Project size Small
Is this a project or a position? Project
Required availability As needed

Delivery term: December 31, 2020

Skills needed

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