• BODDURU KEERTHANA
• Dr.K. VENKATA RAO

Previous analysis has recognized the worth of the economic salesperson's role within the sales prediction method, and offered normative descriptions of what that role ought to be. However, no studies are conducted to work out the variables that inspire industrial sales predict involvement in and contribution to the sales prediction method. Historical trends are known and reconciled with subjective information relating to market trends, and additionally with variables known as correlating with sales growth. In this project I used video game sales dataset. This study can predict global sale for each video game based on NA_sales, EU_sales, JP_sales and other sales. During this paper, I applied machine learning classification and regression algorithms such as Linear Regression, Random forest, Decision Tree, Support vector regression for predicting the long run sales of the video games. In order to keep with the results random forest technique offers the best results among alternative algorithms.

sales prediction, classification algorithms, regression algorithms, linear regression, support vector regression, random forest, decision tree.

"SALES PREDICTION ON VIDEO GAMES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.326-331, June 2019, Available :http://www.jetir.org/papers/JETIR1907H50.pdf

"SALES PREDICTION ON VIDEO GAMES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp326-331, June 2019, Available at : http://www.jetir.org/papers/JETIR1907H50.pdf