Skip to content

Latest commit

 

History

History
8 lines (7 loc) · 567 Bytes

File metadata and controls

8 lines (7 loc) · 567 Bytes

Loan Defaulter Prediction Using ML Techniques

Introduction:

Machine Learning helps machines to perform tasks which are complex in nature with out explicitly being coded by any programmer. Supervised Lerning is one of the Machine Leanring paradigm which deals with labeled data and help us to build models which can perform task for us. Here is a project Loan_Defaulter_Prediction where I have applied supervised leanring and built a model which can predict an applicant can become a defaulter or not.

def sum(num1,num2):
  return num1+num2