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Comparative Analysis of different ML Algorithm for Earthquake Magnitude Prediction and Classification of Earthquake into low, medium, high categories

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Earthquake-Prediction

Comparative Analysis of different ML Algorithm for Earthquake Magnitude Prediction and Classification of Earthquake into low, medium, high categories

Regression

Linear, Lasso, Ridge Regression

SVR

Decision Tree Regressor

XGBoost-Regressor

Neural Network

Classification

Neural Network - Diferent variations like DNN

Decision Tree CLassifier

XGB-Classifier

Dataset

Dataset used is STanford EArthquake Dataset (STEAD) can be found at link

Other data

Features that take time in feature transformation are saved and present in data folder. If any issue then can also be downloaded from link

Trained models are uploaded in the models folder. If any issue then can also be downloaded from link

Report & Presentation Slides

Presentation Slides : link

Report : link

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Comparative Analysis of different ML Algorithm for Earthquake Magnitude Prediction and Classification of Earthquake into low, medium, high categories

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