Utilizing Machine Learning Algorithms for Consumer Behavior Analysis

Sameer Giradkar

Title:
Utilizing Machine Learning Algorithms for Consumer Behavior Analysis

Authors:
Sameer Giradkar

Cite This Article :

Sameer Giradkar "Utilizing Machine Learning Algorithms for Consumer Behavior Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.1737-1743, URL: https://www.ijtsrd.com/papers/ijtsrd81123.pdf

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Abstract :
Consumer behavior analysis is a cornerstone of modern marketing and business strategy. In today's data-rich environment, businesses have access to unprecedented data about their customers. This wealth of data presents both challenges and opportunities. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool for businesses to understand, predict, and optimize consumer behavior . This essay explores the application of machine learning algorithms in consumer behavior analysis, delving into the methods, benefits, challenges, and future directions in this dynamic field. By comprehensively examining relevant literature, case studies, and real-world examples, this research aims to provide a deep understanding of how machine learning is transforming the landscape of consumer behavior analysis.

Keywords :
Machine Learning Algorithms, Dataset, Consumer Behavior Analysis, Supervised Learning, Deep Learning.

Publication Details:

Unique Identification Number : IJTSRD81123

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 1737-1743

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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