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By using a historical dataset from previous loan applications, cleaned the data, and applyed different classification algorithm on the data. algorithms used to build this models:

k-Nearest Neighbour Decision Tree Support Vector Machine Logistic

By using a historical dataset from previous loan applications, cleaned the data, and applyed different classification algorithm on the data. algorithms used to build this models:

k-Nearest Neighbour Decision Tree Support Vector Machine Logistic

implementing Pandas and Cufflinks

All my projects are here All of these are open source You can use them as boiler plate Please suggest your ideas in comments section. Thank you