Forecasting using Machine Learning
Amit Kumar Agarwal1, Manish Shrimali2, Sukanya Saxena3, Ankur Sirohi4, Anmol Jain5
1Amit Kumar Agarwal, ABES Engineering College, Ghaziabad (Uttar Pradesh), India.
2Manish Shrimali, ABES Engineering College, Ghaziabad (Uttar Pradesh), India.
3Sukanya Saxena, ABES Engineering College, Ghaziabad (Uttar Pradesh), India.
4Ankur Sirohi, ABES Engineering College, Ghaziabad (Uttar Pradesh), India.
5Anmol Jain, ABES Engineering College, Ghaziabad (Uttar Pradesh), India.
Manuscript received on 25 March 2019 | Revised Manuscript received on 02 April 2019 | Manuscript Published on 12 April 2019 | PP: 38-41 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90260476C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Weather has a numerous impact in our daily life and also gained researchers attention due to its massive effect to the human life. To protect ourselves from weather we need to predict the weather such as rainfall, humidity and temperature etc. The emerging machine learning techniques in the last few years coupled with large volume of weather observation data. With the help of previous data, we predict the weather by using machine learning technique. In this paper, we implement machine learning technique for weather forecasting. In present myriad data available around us. So, it is very important for us to analyse this data in order to fetch out some useful information and intent. This can be done by using machine learning and data mining. Machine learning is an internal part of artificial intelligence, which is used to design algorithms based on the relationships between data and data trends.
Keywords: Weather, Rainfall, Humidity, Myriad, Data Mining.
Scope of the Article: Machine Learning