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  Published Paper Details:

  Paper Title

PREDICTION OF ONLINE SALES USING LINEAR REGRESSION

  Authors

  Mastan Vali,  K.Sankeerthana,  B.Naveen,  N.Vishal

  Keywords

Linear Regression, Machine Learning, accuracy, superstore

  Abstract


The aim of this paper is to analyze the sales of a big superstore, and predict their future sales for helping them to increase their profits and make their brand even better and competitive as per the market trends by generating customer satisfaction as well. The technique used for prediction of sales is the Linear Regression Algorithm, which is a famous algorithm in the field of Machine Learning. The sales data is from the year 2017-19 and prediction of data for the year 2019 is done. Then, real-time data of the year 2019 is also taken and the actual data of the year 2019 has been compared to the predicted data to calculate the accuracy of prediction. This is done so as to validate our results with the actual ones. This in turn would help them take necessary actions (which has been discussed later) for their increase their sales.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2002169

  Paper ID - 192029

  Page Number(s) - 1494-1496

  Pubished in - Volume 8 | Issue 2 | February 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mastan Vali,  K.Sankeerthana,  B.Naveen,  N.Vishal,   "PREDICTION OF ONLINE SALES USING LINEAR REGRESSION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 2, pp.1494-1496, February 2020, Available at :http://www.ijcrt.org/papers/IJCRT2002169.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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