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anish045007/Loan-Application-Risk-using-Supervised-Learning-

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Compare Decision Tree, KNN, SVM, Logistic Regression for loan risk prediction. Preprocess data, train models, optimize, evaluate, compare, and provide deployment insights. Repository includes code, dataset, results, metrics, and analysis for each algorithm.

active 2024-04-13 → 2024-04-14 (UTC)

Complete coverage28,068 / 28,068 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-27 (UTC)
Events
14
Pushes
7
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-04-13 to 2024-04-14. Pushes: 7 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
anish0450077700

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.