Learning Goal: I’m working on a python writing question and need an explanation and answer to help me learn.In this project, imagine that you work for a lending company (Lending Club) that provides small loans to individual borrowers for 3 or 5 years. The company has collected data on the loans granted in the past few years. Your responsibility is to conduct an analysis using the data and uncover insights about the loans’ performances.Good loans are the ones where the status is current or fully paid. Bad loans are the ones where the status is in garce period, late, or default.Use machine learning models to uncover the relationship between features and loan status.Please note that,In this project, you have great flexibility in processing the variables, such as transforming a continuous feature into categories.You have 36-month loans and 60-month loans (term). You are suggested to separate your modeling and analysis for these two types of loans since the mechanism and structure could be quite different.Evaluate your model performance.You are required to write codes and generate a report (at most 5 pages, including graphs and tables if any).what you need to do:- the report should document all your works and thoughts except for the codes, such as how you build the models, how the models perform, as well as what features matter. – report should be 5 pages- finish the rest of the codeplease check the google drive: https://drive.google.com/drive/folders/1DCs-Pbd9DY…
Requirements: 5 pages
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