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 w$.$r$.$t$.$ 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.