This paper is published in Volume-5, Issue-3, 2019
Area
Computer Engineering
Author
Riya Mate
Co-authors
Aditi Patil, Isha Bansod, Neha Khare, P. V. Khandare
Org/Univ
Vishwakarma Institute of Technology, Pune, Maharashtra, India
Pub. Date
16 May, 2019
Paper ID
V5I3-1418
Publisher
Keywords
Linear regression, Sales forecasting, Android app development

Citationsacebook

IEEE
Riya Mate, Aditi Patil, Isha Bansod, Neha Khare, P. V. Khandare. Shopping guide, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Riya Mate, Aditi Patil, Isha Bansod, Neha Khare, P. V. Khandare (2019). Shopping guide. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Riya Mate, Aditi Patil, Isha Bansod, Neha Khare, P. V. Khandare. "Shopping guide." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

The main objective of this project is Sales prediction,which is forecasting the future sales of a product.The attributes used as an input is weekly sales and dates of sale.This paper proposes a machine learning model to predict sales sales of a product.The machine learning technique used is linear regression.The successful prediction of sales will maximize the shopkeeper's gains.
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