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

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.

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

🌍 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! 📈🔮

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.

地牛WakeUP! 連動BOT

Predicting the time remaning for the next Earthquake. Kaggle Competition

Python for Machine Learning Project on Earthquake Prediction using Python

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.

Earthquake Prediction using Regression Models

Deeplearning model to predict earthquake occurence based on realtime data

Tracks earthquakes happened around the world in the past week

Earthquake Magnitude Prediction using ML and DL models