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@article{189615,
        author = {Jadhav Rajashri Narayan and Rohom Pratiksha Shubham and Wakchaure Vaishnavi Nandkishor and Jadhav Priyanka Vilas},
        title = {A Comparative Study of Supervised and Unsupervised Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {7214-7216},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189615},
        abstract = {Machine Learning (ML) techniques enable systems to learn from data and make intelligent decisions. Among various learning paradigms, supervised and unsupervised learning are the most widely used due to their practical applicability. This research paper presents a clear, plagiarism-free comparative study of supervised and unsupervised learning techniques. It explains their working principles, commonly used algorithms, evaluation metrics, advantages, limitations, and real-world applications. Appropriate diagrams and illustrative examples are included to enhance understanding and visual appeal. This study aims to help students and researchers select suitable learning approaches based on problem requirements and data availability.},
        keywords = {Machine Learning, Supervised Learning, Unsupervised Learning, Classification, Clustering},
        month = {December},
        }