Can you list out the steps to do these task below and the codes as jupyter notebook for it.

As for the code, assume the data will have column with numerical such as: age, euribor3m, number of money own,...; categorical: name. job, marital, loan, ....

Task 1.1: Data Preparation

This assignment will focus on data modelling, and you need to focus on Classification techniques. For this assignment, you need to work on the Bank_Loan_Modelling data set. Being a careful data scientist, you know that it is vital to set the goal of the project, then thoroughly pre-process any available data (each attribute) before starting to analyse and model it. You will start by loading the data from the file. Then, you need to clean the data by dealling with the potential issues/errors in the data appropriately (such as: typos, impossible values, and missing values).