https://github.com/abideen-olawuwo/loan
A loan prediction modes
https://github.com/abideen-olawuwo/loan
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 2 months ago
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A loan prediction modes
- Host: GitHub
- URL: https://github.com/abideen-olawuwo/loan
- Owner: abideen-olawuwo
- Created: 2023-04-27T21:05:47.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-04T04:14:14.000Z (about 3 years ago)
- Last Synced: 2025-03-04T19:38:09.098Z (over 1 year ago)
- Topics: adaboostclassifier, catboost-classifier, gaussian, knearest-neighbor-algorithm, linear-svc, logistic-regression, matplotlib, naive-bayes-classifier, numpy, pandas, sklearn, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 1.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
- Problem definition
How well can we predict customers that will repay the loan granted by the loan company .
- Data
The dataset was downloaded from Github (https://github.com/Safa1615/Dataset--loan/blob/main/bank-loan.csv)
- Feature
The data has the follow feature which include; age, education, employ, address, income, debtinc, creddebt, othdebt and default
- Modelling
The Model used are LogisticRegression, KNeighborsClassifier, RandomForestClassifier, GaussianNB, XGBClassifier, DecisionTreeClassifier, AdaBoostClassifier and LinearSVC
- Feature