Building a Mobile Price Prediction System Using Web Scraping and Machine Learning
by amalgamate data engineering, data science, and e-commerce analytics.
Ramanjaneyulu DayinaboyinaProfessor,Dept of AIML, Chiral a , Andhra Pradesh, dramu2002@gmail.Com, India .1
Raman Kumar Mandal, Asst. prof
CSE GNITC Hyderabad, email reffect1985@gmail.com, india .2
Ponnapalli Hemant, Asst. prof
CSE, DRK institute of science and technology, ponnapallihemanth784@gmail.com, india .3
Nisha, Asst prof CSE, ,Chandigargh
university punjab, mohali, india .4
Anjanadevi
Dayinaboyina, Senior Software Engineer, Wipro Ltd, anjana11.mca@gmail.com, Chennai, India .5
Abstract
The internet retail market is a constantly evolving landscape. Consequently, both buyers and sellers require technology-driven advancements for the analysis of mobile phone pricing. Web scraping—a technique used to collect data from the web—is widely employed for this purpose. The process further incorporates data ................................................................................
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