PREDICTION OF THYROID DISEASE USING MACHINE LEARNING TECHNIQUES

Dr.P.P.Sadu Naik; Thathapudi Emily Suvika Paul

PREDICTION OF THYROID DISEASE USING MACHINE LEARNING TECHNIQUES

Authors: Dr.P.P.Sadu Naik, Thathapudi Emily Suvika Paul

Unique Paper ID: 156468
Volume: 9
Issue: 3
PageNo: 768-775

Keywords: Web Scraping Data Analysis Visualization

Abstract:
Web scraping is an application used to extract information from various web services. E-commerce websites in todayâ€™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.

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Cite This Article

ISSN: 2349-6002
Volume: 9
Issue: 3
PageNo: 768-775

PREDICTION OF THYROID DISEASE USING MACHINE LEARNING TECHNIQUES

Available:https://ijirt.org/Article?manuscript=156468

05 Nov, 2023

Revolutionizing Banking and Finance: Integrating Methodologies for Efficiency, Security, and User Experience Enhancement

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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