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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
DATA ANALYSIS ON POKEMON GO
Authors
Atul Soni, Smit Shah, Monik Gallani, Suraj Patil
Keywords
Pokemon, Dataset, Classification, GridSearchCV, Machine learning, training speed, prediction
Abstract
Pokemon Go is concept game based on Augmented Reality. For this study, a dataset having around 350,000 spawning entries was used. Each entry contained the name of the pokemon, the appearing and disappearing time of that pokemon, as well as the longitudinal and latitudinal location it spawned at. The goal of the study was to verify the prediction of the pokemon at the spawned locations and to explore the use of random forest regression model in cases having location data. The result thus proved that random forest regression performs excellently while dealing with longitudinal and latitudinal data.
IJCRT's Publication Details
Unique Identification Number - IJCRT1892312
Paper ID - 186520
Page Number(s) - 2033-2038
Pubished in - Volume 6 | Issue 2 | April 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Atul Soni, Smit Shah, Monik Gallani, Suraj Patil, "DATA ANALYSIS ON POKEMON GO", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.2033-2038, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892312.pdf
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Volume 14 | Issue 9
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Volume 14 | Issue 9
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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