Classification techniques are used to classify the given data input to their desire class or target. By using classification techniques in machine learning the data can be given their classes. By keeping that in mind we focused to our Bengali word which have Bengali prefix. There are 21 prefix in Bengali grammar which have a great impact on Bengali grammar. All Bengali people are familiar with all the Bengali prefix. To classify those words by their prefix we used most common machine learning supervised algorithms. There are more than 500 data in the data set where all the data is arranged by the Bengali prefix. Classes are given by their desired prefix. After the preprocessing of data machine learning supervised algorisms are applied. Most common supervised algorithms like KNN, DT, NB, RF, LR, XGB classifier, and SVC classifier for getting more satisfying outcome are applied. There are a lot of detailed information which are described specific segment of this paper. Random forest and support vector classifier is outreach to the prominent accuracy among more than 90%.