• NARAYANAN V
• HARIHARASUTHAN K
• P. Veeralakshmi

Digital marketing is considered the preferred method comparing to traditional marketing. It is useful to both practitioners and academics of social media marketing and purchase intention. The research provides some initial insights into consumer perspectives of social media ads and online purchase behavior. Business, academician, researchers all are share their advertisements, information on internet so that they can be connected with people fast and easily to survey on searchable mobile brand websites. To prevent this problem, web scraping helps collect these unstructured data and store it in a structured form. The aim is to investigate given dataset using machine learning based techniques for brand name forecasting by regression and prediction results in best accuracy. The analysis of dataset by random forest algorithm is to capture several information’s like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyze the data validation, data cleaning/preparing and data visualization will be done on the entire given dataset. Our analysis provides a comprehensive guide to sensitivity analysis of model parameters with regard to performance in prediction of sales ratings with mobile features by finding accuracy calculation. To increase the sales in the Ecommerce based upon the customer requirement and current trend, we also present a fast machine learning algorithm for analyzing purpose. Here, K-Nearest Neighbour & Random Forest algorithm is used for classification & recommending the brand & MLP Regression is used for regression purpose.

Prediction of Best Brand

"PREDICTION OF BEST BRAND IN E-COMMERCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.822-827, April-2020, Available :http://www.jetir.org/papers/JETIR2004304.pdf

"PREDICTION OF BEST BRAND IN E-COMMERCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp822-827, April-2020, Available at : http://www.jetir.org/papers/JETIR2004304.pdf