Commercials Sales Prediction Using Multiple Linear Regression
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Commercials have always been one of the most important medium for a company to extensively promote their brand or to increase the sales of their product. In the case of commercial sales managers, data analysis, and data visualization play an important role because it helps the organizations to derive insights from given data and accordingly make decisions that can profoundly influence their product market and also sales. Using this analysis, many brands also improve the commercials content and relevance based on the customer’s interest. This the paper mainly aims to address the usage of multiple linear regression technique in case of predicting sales related to commercials which are displayed in mainly three forms of media namely TV, Radio & Newspaper. We also use Yellow- Brick library here so that it extends the Sci-kit learn API to make model selection and hyper-parameter tuning of the model easily(for visualization also)
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