Context Walking-the-ropes by checking how the Machine-Learning course gains pageviews by factoring in the related predictors such as Forks, Comments and others. All these from a beginner's point of view. Root Source: https://www.kaggle.com/learn/machine-learning Content The data is a collection of the different stats represented on the page such as forks, comments, views, voters etc. (please see the data description for complete list and my rationale to include them) The data is true as of 2018-May-28 and will obviously grow from there on. Note: I would have liked to get the information on "PagePublishDate" which would tell us a better story of how popular old posts can be. But Alas! I could not get this information from the webpages Acknowledgements n/a Inspiration How are we learning "Machine Learning". Which topics interest us the most and why?