Earthquake-Prediction-using-Python

Introduction

Earthquake Prediction is a way of predicting the magnitude of an earthquake based on parameters such as longitude, latitude, depth, and duration magnitude, country, and depth using machine learning to give warnings of potentially damaging earthquakes early enough to allow appropriate response to the disaster, enabling people to minimize loss of life and property.

ML Models used:

• Linear Regression
• Decision Tree
• K-Nearest Neighbors

Steps Taken:

1. Preprocessing of Dataset
2. Splitting the Datasets
3. Building ML models such as Linear Regression, Decision Tree and KNN
4. Visualization with Matplotlib and Seaborn
5. Prediction

Download Datasets from:

https://drive.google.com/drive/folders/1b4IyWfUzbDgOvuW_W7rOSEeTpBN53Mlf