For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetch📊, data from the 💻, imdb website 🌐 and converted into txt files.
Earthquakes are natural disasters that can cause significant damage and loss of life. Accurate prediction of earthquakes is essential for developing early warning systems, disaster planning, risk assessment, and scientific research. This project aims to predict the magnitude and probability of Earthquake occurring in a particular region (California, United States) from the historic data of that region using various Machine learning models.
We will use four models in this project:
Linear regression
Support Vector Machine(SVM)
NaiveBayes
Random Forest
Linear Regression
Type of PR
[ ] Bug fix
[ ] Feature enhancement
[ ] Documentation update
[ ] Other (specify): ___
Checklist:
[x ] I have performed a self-review of my code
[x] I have read and followed the Contribution Guidelines.
[x ] I have tested the changes thoroughly before submitting this pull request.
[x ] I have provided relevant issue numbers, screenshots, and videos after making the changes.
[ x] I have commented my code, particularly in hard-to-understand areas.
Additional context:
[Include any additional information or context that might be helpful for reviewers.]
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Earthquake prediction
Description
Earthquakes are natural disasters that can cause significant damage and loss of life. Accurate prediction of earthquakes is essential for developing early warning systems, disaster planning, risk assessment, and scientific research. This project aims to predict the magnitude and probability of Earthquake occurring in a particular region (California, United States) from the historic data of that region using various Machine learning models. We will use four models in this project: Linear regression Support Vector Machine(SVM) NaiveBayes Random Forest Linear Regression
Type of PR
Checklist:
Additional context:
[Include any additional information or context that might be helpful for reviewers.]