A Classification Problem which predicts if a loan will get approved or not. Dataset- The data has 615 rows and 13 columns. Dataset Description- Variable Description Loan_ID - Unique Loan ID Gender - Male/ Female Married- Applicant married (Y/N) Dependents - Number of dependents Education - Applicant Education (Graduate/ Under Graduate) Self_Employed - Self employed (Y/N) ApplicantIncome - Applicant income CoapplicantIncome - Coapplicant income LoanAmount - Loan amount in thousands Loan_Amount_Term - Term of loan in months Credit_History - credit history meets guidelines Property_Area - Urban/ Semi Urban/ Rural Loan_Status - Loan approved (Y/N)
-
Notifications
You must be signed in to change notification settings - Fork 0
A Classification Problem which predicts if a loan will get approved or not. Dataset- The data has 615 rows and 13 columns. Dataset Description- Variable Description Loan_ID - Unique Loan ID Gender - Male/ Female Married- Applicant married (Y/N) Dependents - Number of dependents Education - Applicant Education (Graduate/ Under Graduate) Self_Empl…
aliwahba/Loan-Prediction-Problem
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A Classification Problem which predicts if a loan will get approved or not. Dataset- The data has 615 rows and 13 columns. Dataset Description- Variable Description Loan_ID - Unique Loan ID Gender - Male/ Female Married- Applicant married (Y/N) Dependents - Number of dependents Education - Applicant Education (Graduate/ Under Graduate) Self_Empl…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published