Machine Learning approach for predicting temperature in Bangladesh

Abstract

Our country has six seasons. Though temperature remain high during summer season in Bangladesh. For global worming Bangladesh weather is also changing. As a result temperature in Bangladesh is increasing day by day. For this reason there are many natural disasters like cyclone, flood, drought are happening in Bangladesh regularly. As a result so many problems like death of people, food shortage, adequate of pure drinking water are arising. But currently Bangladesh doesn’t have any modern temperature prediction technique. It is difficult to predict the weather temperature due to non-linear characteristics of natural calamities in the country. It is proved that artificial intelligence is very helpful for predicting weather temperature. We use machine learning technique for predicting temperature of weather. Linear regression technique is a popular method for predicting temperature. Besides temperature, humidity, rain fall, dew point is used as predictors.