Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{156468,
        author = {Dr.P.P.Sadu Naik and Thathapudi Emily Suvika Paul},
        title = {PREDICTION OF THYROID DISEASE USING MACHINE LEARNING TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {3},
        pages = {768-775},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156468},
        abstract = {Web scraping is an application used to extract information from various web services. E-commerce websites in today’s world  have become one of the most important sources for buying all kinds of products. As there are many e-commerce websites available it has become difficult for users to choose best website for desired product amongst these websites. Comparison of E- commerce products using web scraping enables users to compare prices and get desired product at reasonable price. Users can also select multiple products that belong to same category for comparing its features.},
        keywords = {Web Scraping, Data Analysis, Visualization},
        month = {},
        }