This paper is published in Volume-6, Issue-2, 2020
Area
Electronics and Communication Engineering
Author
Harsh Agarwal, K. Sai Charan, S. Harsha Vardhan, J. Ashok Kumar, P. Someshwar Goud, Vamshi Krishna
Org/Univ
B. V. Raju Institute of Technology, Hyderabad, Telangana, India
Pub. Date
30 April, 2020
Paper ID
V6I2-1489
Publisher
Keywords
Weather Prediction, Machine Learning, Efficiency, Decision Tree, Stepwise Regression, Dataset, Temperature, Humidity, Pressure, Error

Citationsacebook

IEEE
Harsh Agarwal, K. Sai Charan, S. Harsha Vardhan, J. Ashok Kumar, P. Someshwar Goud, Vamshi Krishna. Weather prediction using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Harsh Agarwal, K. Sai Charan, S. Harsha Vardhan, J. Ashok Kumar, P. Someshwar Goud, Vamshi Krishna (2020). Weather prediction using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(2) www.IJARIIT.com.

MLA
Harsh Agarwal, K. Sai Charan, S. Harsha Vardhan, J. Ashok Kumar, P. Someshwar Goud, Vamshi Krishna. "Weather prediction using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 6.2 (2020). www.IJARIIT.com.

Abstract

The burgeoning research in the fields of Artificial Intelligence and machine learning has given rise to numerous weather prediction models. But the problem of accurately predicting or forecasting the weather persists. Numerical weather prediction is taking the existing numerical data on weather conditions and applying machine learning algorithms to forecast the weather. This paper is the application of machine learning algorithm-decision Tree to predict the weather based on a few parameters such as temperature, pressure, humidity. Using the stepwise regression process along with the decision tree, weather forecasting is achieved.