ISSN2320-2882
Impact Factor9.17
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Paper Title

Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning

Authors

Sujata Jaysing Ajab , Pooja Gopal Malvankar , Dyaneshwar Balu Lokhande , Shubhangi Pratik Bombale

Keywords

Algorithms, Learning Paradigms, Deep Learning, Neural Networks, Supervised Learning, Reinforcement Learning, Predictive Models, Data Optimization, Generative AI, Explainable AI

Abstract

Machine Learning (ML) has emerged as a profoundly transformative technology in the 21st century, empowering computer systems to learn from empirical data and execute intelligent decision-making without reliance on explicit, rigid programming. This paper undertakes a comprehensive examination of the field, detailing its historical progression, fundamental theoretical principles, diverse learning models, core algorithms, and extensive real-world applications. The analysis also addresses critical contemporary challenges and highlights future research trajectories, underscoring ML's pivotal role in automation, prediction, and complex decision-making across various domains

How To Cite

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IJCRT — journal style
"Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.b560-b565, December 2025, Available :https://ijcrt.org/papers/IJCRT2512190.pdf
APA — 7th edition
Ajab, S. J., Malvankar, P. G., Lokhande, D. B., & Bombale, S. P. (2025). Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning. International Journal of Creative Research Thoughts, 13(12), b560-b565. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190
MLA — 9th edition
Ajab, Sujata Jaysing, et al. "Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. b560-b565, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190.
Chicago — 17th, bibliography
Ajab, Sujata Jaysing, et al. "Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning." International Journal of Creative Research Thoughts 13, no. 12 (2025): b560-b565. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190.
Harvard — author–date
Ajab, S.J. et al. (2025) 'Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning', International Journal of Creative Research Thoughts, 13(12), pp. b560-b565. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190
IEEE — numbered reference
S. J. Ajab, P. G. Malvankar, D. B. Lokhande and S. P. Bombale, "Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning," IJCRT, vol. 13, no. 12, pp. b560-b565, Dec. 2025.
Vancouver — biomedical
Ajab SJ, Malvankar PG, Lokhande DB, Bombale SP. Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning. IJCRT. 2025 Dec;13(12):b560-b565.
AMA — 11th edition
Ajab SJ, Malvankar PG, Lokhande DB, Bombale SP. Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning. IJCRT. 2025;13(12):b560-b565. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512190, author = {Sujata Jaysing Ajab and Pooja Gopal Malvankar and Dyaneshwar Balu Lokhande and Shubhangi Pratik Bombale}, title = {Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {12}, pages = {b560-b565}, year = {2025}, month = {December}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190} }
RIS — EndNote, RefWorks
TY - JOUR AU - Ajab, Sujata Jaysing AU - Malvankar, Pooja Gopal AU - Lokhande, Dyaneshwar Balu AU - Bombale, Shubhangi Pratik TI - Machine Learning - A Predictive Algorithm for Consumer Analytics, Optimization, and Adaptive Learning T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 12 PY - 2025 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512190 SP - b560-b565 ER -

Issue

Volume 13 Issue 12, December-2025
Pages : b560-b565

Article Information

Pages
b560-b565
Published
December 2025
Registration ID
IJCRT_298371
Published Paper ID
IJCRT2512190
Research Area
Commerce and Management, MBA All Branch
Author Type
Indian Author
Location
Mumbai, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
200

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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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