PROPOSE A MODEL TO CLASSIFY CUSTOMERS BASED ON ONLINE BUYING/SELLING ACTIVITIES

Abstract

The world is going through the industrial revolution 4.0, characterized by Big Data, Artificial Intelligence (AI), Internet of Things (IoT), Cloud Computing, and Data Science. Data Science. The article is in the direction of data science on data management and analysis, extracting values ​​​​from data to find insights, actionable knowledge, decisions that lead actions. Use machine learning to build customer classification models through e-commerce data. Customer cluster to divide the customer base into groups of individuals who are similar in different ways that are related to marketing activities such as gender, age, preferences, and unclear spending habits. The team will do data discovery first. Next, the team will import the essential packages needed for this role and then read our data. Finally, the team will evaluate the input data to get the necessary insights about it.