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ISSN 2063-5346
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WEATHER AUS DATASET: PREDICTION OF RAINFALL USING MACHINE LEARNING TECHNIQUES

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Dr. Ashutosh M. Kulkarni, Shubhangi Pandurang Tidake, Mrs. M. V. Shelke, Anita Laxman Devkar, Vidya Amit Deshmukh
» doi: 10.31838/ecb/2023.12.s3.170

Abstract

Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be highly variable. Predicting rainfall accurately aids in effectively planning, managing, and implementing water resources systems and can assist with more sustainable operations. Science and Technology play an essential role in predicting the climate of any country via rainfall prediction. This paper proposes a rainfall prediction for Australian dataset. Intention of this paper is to make weather predictions based upon already collected data regarding various factors like Wind Speed, Maximum Temperature, Minimum Temperature, Wind Direction, Rainfall, etc.

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