Rainfall Prediction using Machine Learning |
Author(s): |
| Neha Jha , S.S.A.I.E.T NAVSARI, GUJARAT; Dhaval Patel, SSAIET NAVSARI; Ruchi Sanghavi, SSAIET NAVSARI; Divyesh Rana, SSAIET NAVSARI; Anali Shah, S.S.A.I.E.T NAVSARI, GUJARAT |
Keywords: |
| Machine Learning, Linear Regression Algorithm, Spyder in Anaconda Navigator, Python |
Abstract |
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This paper introduces current supervised learning model which is based on machine learning algorithm for Rainfall prediction in India. Rainfall is always being a major issue across the world as it affects all the major factor on which the human being is depended. In current, Unpredictable and accurate rainfall prediction is very challenging task [1]. We applied linear regression algorithm of machine learning with the help of Python through Spyder in Anaconda Navigator to compare the accuracy of between training and test data. Our motive is to get the most accurate and a better rainfall prediction in result. |
Other Details |
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Paper ID: IJSRDV8I40667 Published in: Volume : 8, Issue : 4 Publication Date: 01/07/2020 Page(s): 439-442 |
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