In this paper, we describe the system submitted by our team for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task held at FIRE 2019. Hate speech and offensive language detection have become an important task due to the overwhelming usage of social media platforms in our daily life. This task has been applied for three languages namely, English, Germany and Hindi. The proposed model uses classical machine learning approaches to create classifiers that are used to classify the given post according to different subtasks.