This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.

Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) CatboostRegressor, private score 2.425 (31 place)

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! 📈🔮

Web application for earthquake prediction in a window of few future days. live data collection from https://earthquake.usgs.gov/

Python for Machine Learning Project on Earthquake Prediction using Python

地牛WakeUP! 連動BOT

Submissions for the Kaggle competition found here: https://www.kaggle.com/c/LANL-Earthquake-Prediction

Using machine learning to predict the time remaining until the next earthquake in lab.

Predicting the time remaning for the next Earthquake. Kaggle Competition

Earthquake Prediction using Regression Models

Earthquake Magnitude Prediction using ML and DL models

This repository is a curated list of earthquake prediction models!

This is my third Machine Learning Project. This repository hosts the code and resources for the Nepal 2015 Earthquake building damage predictor, a part of the DrivenData Competitions. The project aims to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal based on aspects like building structure and location.

ITU Earthquake prediction project

Deeplearning model to predict earthquake occurence based on realtime data

This repository contains a Flask web application that uses a CatBoost regression model to predict earthquake magnitudes. The model is trained using a dataset containing various features related to earthquakes.

Tracks earthquakes happened around the world in the past week