GitHub / 11SShukla / Tsunami_alert_system
Tsunami Risk Prediction System This project implements a machine learning system to predict tsunami risk levels for three states. By analyzing relevant data, the system categorizes risk into low, moderate, and high. Overview: Utilizing a Lightgbm ML algorithm, this system assesses tsunami likelihood.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/11SShukla%2FTsunami_alert_system
PURL: pkg:github/11SShukla/Tsunami_alert_system
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 7.19 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 11 days ago
Topics: folium, folium-maps, lightgbm, machine-learning, pandas, python, seaborn, sklearn