This repository contains our solution for Kaggle's Playground Series S4E10 competition, where we predict loan approval using machine learning. Our approach involves extensive feature engineering and a stacking model combining XGBoost, LightGBM, and CatBoost. Current rank: 377/2419. Contributions by Kartik Garg and Deepanshu.
active 2024-10-19 → 2025-01-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 88 days from 2024-10-19 to 2025-01-14. Pushes: 2 total, peak 2 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: 1 total, peak 1 in a day.
- Pushes
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Kartikgarg74 | 2 | 2 | 0 | 0 |
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 — 1 stars here means stars gained during the window, not the repo's star count.