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loan-prediction-analysis

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This project demonstrates the implementation of a loan approval system that utilizes MongoDB for distributed data storage and management, and PyMongo for database operations. The project aims to automate the assessment of loan eligibility using customer details from online applications.

  • Updated May 23, 2024
  • Jupyter Notebook

This a practice project for Classification model with different models like Logistic Regression, Decision Tree Classifier, Random Forest Classifier and Xgboost Classifier. At the end, Logistic Regression gave the best result.

  • Updated Jun 1, 2022
  • Jupyter Notebook

This project aims to predict loan status by utilizes a Support Vector Machine (SVM) model. The historical loan data is preprocessed, and the SVM model is trained and fine-tuned using labeled data. The study focused on building machine learning model using the SVM algorithm from the scikit-learn library.

  • Updated Apr 14, 2023
  • Jupyter Notebook

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