GitHub / YigitTurali / Shell_App
Shell_App is an integrated data analysis and modeling platform, featuring scripts for EDA, ensemble techniques, LightGBM, and SARIMAX modeling. Designed for comprehensive data processing, the repository also includes deployment capabilities via Streamlit for interactive model interactions.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YigitTurali%2FShell_App
PURL: pkg:github/YigitTurali/Shell_App
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 529 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 37
Authors: 2
Mean commits per author: 18.5
Development Distribution Score: 0.081
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/YigitTurali/Shell_App
Topics: arima-forecasting, arima-model, ensemble-learning, forecasting-models, gradient-boosting, machine-learning-algorithms, royal-dutch-shell, sarimax-model