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Consider the dataset ( in csv format ) that describes the loan approval history for past applicants. The goal of this assignment to implement a
Consider the dataset in csv format that describes the loan approval history for past applicants. The goal of this assignment to implement a multilayer perceptron classifier with prejudice removal regularizer that can predict approval outcome with higher fairness metrics wrt sensitive attributes such as gender and ethnicity. You will need to upload your Python notebook in ipynb format with all outputs embedded and the corresponding pdf file. You can use any python based libraries of your choice.
Consider the dataset in csv format that describes the loan approval history for past applicants. The goal of this assignment to implement a multilayer perceptron classifier with prejudice removal regularizer that can predict approval outcome with higher fairness metrics wrt sensitive attributes such as gender and ethnicity. You will need to upload your Python notebook in ipynb format with all outputs embedded and the corresponding pdf file. You can use any python based libraries of your choice.
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