Paper Title
End-to-end predictive analysis on Uber data
Article Identifiers
Authors
Kalal Nanditha , Kadarla Mani Chandana , Kattasavugari Chaithanya Kumar Reddy
Keywords
End-to-end predictive analysis on Uber data, Machine Learning
Abstract
We have choosen this project as it mainly focuses on the Uber data, which has become one of the most trending apps these days. Companies have used data analytics to improve and expand their performance since decades. Visualisation and data analysis have helped us in many ways, including detecting new trends, examining correlations and patterns in the data, doing in-depth research, and, the cherry on top, drawing conclusions from these patterns. For all of the benefits that this notion offers, it is necessary that we study it in depth over time. Using Machine learning algorithms in making the right analysis from the data ,that helps in making a decision.The varying cost of Uber rates is probably going to be significantly influenced by the weather. Various climate factors will have different impacts on the price rise. and at various levels: We believe that weather conditions like cloudiness or clarity do not have the same impact on inflation rates as weather conditions like snow or fog. Addressing the day of the week, recognising weekends and weekends is essential as individuals frequently engage in distinct activities, visit different locations, and retain a different mode of transportation during weekends and weekends.
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How To Cite
"End-to-end predictive analysis on Uber data ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c91-c97, March-2023, Available :https://ijnrd.org/papers/IJNRD2303215.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : c91-c97
Other Publication Details
Paper Reg. ID: IJNRD_188448
Published Paper Id: IJNRD2303215
Downloads: 000121120
Research Area: Engineering
Country: Hyderabad , Telangana , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303215.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303215
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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