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Loans are the core business of banks. The main profit comes directly from the loan’s interest. The loan companies grant a loan after an intensive process of verification and validation. However, they still don’t have assurance if the applicant is able to repay the loan with no difficulties.

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
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Bank-data-testing.csv		Bank-data-testing.csv
Bank-data.csv		Bank-data.csv
Bank_Loan_Prediction.ipynb		Bank_Loan_Prediction.ipynb
LICENSE		LICENSE
README.md		README.md

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Bank_Loan_Prediction

Algorithm: -

Import the relevant libraries.

Preprocess the Raw Data:-

i. Descriptive Stats [all variables]
ii. Variables of Interest
iii. Missing Values
iv.Rearrange the Data [dependent ——— independent]
v. Dummy Categorical [relax 1st variable]

Logistic Regression Model:-

i. Declare Targets and Inputs
ii. Create the regression
iii. Train the Model
iv. Develop a Confusion Matrix
v. Check the accuracy and missclassification rate

Testing the Data:-

i. Load the testing dataset
ii. Descriptive Stats [all variables]
iii. Variables of Interest
iv. Missing Values
v.Rearrange the Data [dependent ——— independent]
vi. Dummy Categorical [relax 1st variable]
vii. Predict the inputs

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Loans are the core business of banks. The main profit comes directly from the loan’s interest. The loan companies grant a loan after an intensive process of verification and validation. However, they still don’t have assurance if the applicant is able to repay the loan with no difficulties.

machine-learning regression

GPL-3.0 license

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