WhatsApp Group Chat Analysis by using Machine Learning

Recently WhatsApp is commonly used to share information from one person to another. WhatsApp plays a major role in internet-based communication. The main goal of this study is to present a detailed analysis of the WhatsApp group messages and identify the people, who are very active in that WhatsApp group. The dataset will be retrieved from the Kaggle repository and the analysis will be done for determining the type of message that the people prefer in most group chats, and check the most activeday of the week, and to find out which age group people are more active. The data analysis stage involves the process of cleaning, inspecting, and modeling the data that will be used for this system. Machine Learning algorithms like regression will be implemented for the analysis and result interpretation. Google Collaboratory will be used for implementation.