Predicting the Impact of Advertisement on Sales Using Machine Learning

In today's world, sales has become very important factor for business to survive in competition. For increasing sales marketing go hand in hand to increase sales. Ultimately, it has been observed that advertisement has great impact on Sales. Current study focuses on finding the correlation between sales and advertisement. There are tons of example and parameter which lead us to assumption or prediction is correct or not. Current study helps in identifying which advertisement is most suitable to increase sales. The use of machine learning approaches becomes an important part for modelling business and also keeping in consideration the purchase patterns of consumers. The comparison between TV, Radio and Newspaper is conducted for predicting whose advertisement is more accurate or can lead us to generate more sales is discussed using Linear Regression in the current study. Linear regression analysis is a statistical procedure for calculating dependent variable from the independent variables.