Weather forecasting refers to understanding the weather condition for the days or moments ahead. It is one of the blessings of modern science to be able to make the weather predictions from previous quantitative data. Weather forecasts state the weather status and how the environment would behave for a chosen location in a specific time. Before inventing the machine learning techniques, people used different types of physical instruments like barometer and anemometer for predicting (forecasting) weather. But it took a lot of time for this phase and there were some issues like maintaining those instruments. Moreover, not every time their forecasts were as accurate. For these problems, people use machine learning techniques nowadays. The purpose of this work is to use machine learning techniques to forecast the weather for Dhaka City. Here, various types of algorithms are used to forecast Dhaka’s environment, such as linear regression, logistic regression, and Naïve Bayes algorithm. The data are gathered from some websites [1] and a dataset was developed.