https://github.com/annapoorna-a-k/earthquake-prediction-using-various-machine-learning-algorithms

Python for Machine Learning Project on Earthquake Prediction using Python
https://github.com/annapoorna-a-k/earthquake-prediction-using-various-machine-learning-algorithms

decision-trees earthquake-prediction ipython-notebook knn linear-regression machine-learning python

Last synced: 5 months ago
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Python for Machine Learning Project on Earthquake Prediction using Python

• Host: GitHub
• URL: https://github.com/annapoorna-a-k/earthquake-prediction-using-various-machine-learning-algorithms
• Owner: annapoorna-a-k
• Created: 2023-07-30T16:44:35.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-30T17:10:39.000Z (almost 2 years ago)
• Last Synced: 2024-11-13T00:43:33.276Z (7 months ago)
• Topics: decision-trees, earthquake-prediction, ipython-notebook, knn, linear-regression, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 320 KB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## 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:



  
Preprocessing of Dataset

  
Splitting the Datasets

  
Building ML models such as Linear Regression, Decision Tree and KNN

  
Visualization with Matplotlib and Seaborn

  
Prediction



### Download Datasets from:

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