About the Data

The dataset contains information about Loan Applicants. There are 12 independent columns and 1 dependent column. This dataset includes attributes like Loan ID, gender, if the loan applicant is married or not, the level of education, applicant’s income etc.

To load the training data in your jupyter notebook, use the below command:

import pandas as pd

loan_data = pd.read_csv("https://raw.githubusercontent.com/dphi-official/Datasets/master/Loan_Data/loan_train.csv" )

Data Description

Loan_ID: A unique ID assigned to every loan applicant
Gender: Gender of the applicant (Male, Female)
Married: The marital status of the applicant (Yes, No)
Dependents: No. of people dependent on the applicant (0,1,2,3+)
Education: Education level of the applicant (Graduated, Not Graduated)
Self_Employed: If the applicant is self-employed or not (Yes, No)
ApplicantIncome: The amount of income the applicant earns
CoapplicantIncome: The amount of income the co-applicant earns
LoanAmount: The amount of loan the applicant has requested for
Loan_Amount_Term: The no. of days over which the loan will be paid
Credit_History: A record of a borrower's responsible repayment of debts (1- has all debts paid, 0- not paid)
Property_Area : The type of location where the applicant’s property lies (Rural, Semiurban, Urban)
Loan_Status: Loan granted or not (1 for granted, 0 for not granted)

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below.

prediction

1

0

1

1

0

1

0

0

.

.

Etc.

Note that the header name should be prediction else it will throw an evaluation error. A sample submission file can be found here

Test Dataset

Load the test data (name it as test_data). You can load the data using the below command.

test_data = pd.read_csv('https://raw.githubusercontent.com/dphi-official/Datasets/master/Loan_Data/loan_test.csv')

Here the target column is deliberately not there as you need to predict it

Loan or No Loan?

Challenge Starts

Challenge Ends