Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh

Authors

  • Ashfaq Ali Shafin

Keywords:

machine learning, linear regression, isotonic regression, support vector regressor, polynomial regression, temperature prediction

Abstract

Weather prediction is gaining popularity very rapidly in the current era of Artificial Intelligence and Technologies It is essential to predict the temperature of the weather for some time In this research paper we tried to find out the pattern of the average temperature of Bangladesh per year as well as the average temperature per season We used different machine learning algorithms to predict the future temperature of the Bangladesh region In the experiment we used machine learning algorithms such as Linear Regression Polynomial Regression Isotonic Regression and Support Vector Regressor Isotonic Regression algorithm predicts the training dataset most accurately but Polynomial Regressor and Support Vector Regressor predicts the future average temperature most accurately

How to Cite

Ashfaq Ali Shafin. (2019). Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh. Global Journal of Computer Science and Technology, 19(D3), 39–48. Retrieved from https://computerresearch.org/index.php/computer/article/view/1858

Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh

Published

2019-07-15