Ensemble-weather-prediction siddharth277 · PARTIAL
End-to-end machine learning pipeline for forecasting Delhi's daily mean temperature using XGBoost, LightGBM, Bidirectional LSTM, ARIMA, SARIMA, and a tuned Ensemble — served via a Streamlit web app.
github.com/siddharth277/Ensemble-weather-prediction · ★ 7 · Forks 0 · Size 11.0 MB
SUMMARY
Technologies 7
Scored 6
Observed 6
Practices 6
Evidence 8
Skips 1
COVERAGE
Analyzed 23 files · 50 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
9 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
9 files · PRODUCTION
TypeScript LANGUAGE Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 78
9 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-13
Last commit 2026-04-29
Active months 1
Commits 50