The Online News Popularity project aims to predict the popularity of online news articles before their publication by analysing various features and characteristics of the articles. Utilizing a dataset from Mashable, the project explores patterns and factors that contribute to an article's success in terms of shares and engagement.

To compare the performance using Kruskal Wallis Test and also finding the similarity of performances between the players

This study aims to quantify the impact of advertising expenditure on sales revenue. By utilizing linear regression analysis, the relative effectiveness of different advertising platforms are assessed in driving sales. The study will further evaluate the model's ability to predict future sales based on advertising inputs.