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loanprediction

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arpanpramanik2003 / loan-status-prediction

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The Loan Status Prediction Model predicts loan approval based on applicant details like income, credit history, and loan amount. It uses data preprocessing, an SVC model, and achieves around 79% accuracy. The trained model is saved for future use.

data-science machine-learning sklearn pickle data-processing predictive-analytics svm-classifier model-evaluation loanprediction mlpipelines loan-approval-prediction
  • Updated Jan 22, 2025
  • Jupyter Notebook

s0nya21 / Loan-Approval-Prediction

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When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

visualization exploratory-data-analysis jupyter-notebook pandas python3 classification logistic-regression data-preprocessing hyperparameter-tuning model-building random-forest-classifier svc-model matplotlib-pyplot seaborn-plots plotly-express xgboost-classifier loanprediction classification-metrics loanapproval
  • Updated Nov 7, 2023
  • Jupyter Notebook

shubanborkar / Loan-Defaulter-Prediction

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A Flask-based web application that uses a machine learning model to assess the likelihood of a customer defaulting on a loan. The user inputs key financial and credit-related information, and the app returns a risk prediction (Low Risk / High Risk) in real-time.

python flask machine-learning python3 flask-application loans loan-default-prediction loan-prediction-analysis loanprediction loan-default-analysis
  • Updated Jun 14, 2025
  • Jupyter Notebook

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