Customer Behaviour Analysis Using Machine Learning Algorithms

Abstract

Machine learning is an algorithmic-based auto-learning mechanism that improves from its experiences. It makes use of a statistical learning method that trains and develops on its own without the assistance of a person. Data, characteristics deduced from the data, and the model make up the three primary parts of a machine learning solution. Machine learning generates an algorithm from subsets of data that can utilise combinations of features and weights different from those obtained from basic principles. In this paper, an analysis of customer behaviour is predicted using different machine learning algorithms. The results of the algorithms are validated using python programming.

Citation

Krishan, R. (2023), "Customer Behaviour Analysis Using Machine Learning Algorithms", Grima, S., Thalassinos, E., Noja, G.G., Stamataopoulos, T.V., Vasiljeva, T. and Volkova, T. (Ed.) Digital Transformation, Strategic Resilience, Cyber Security and Risk Management (Contemporary Studies in Economic and Financial Analysis, Vol. 111B), Emerald Publishing Limited, Leeds, pp. 133-142. https://doi.org/10.1108/S1569-37592023000111B009