2021-10-30 558_project2

Yan Liu 2021/10/30

Explaination

Online News Popularity Data Set summarizes a heterogeneous set of features about articles published by Mashable in a period of two years. The goal of this project is to predict the number of shares in social networks (popularity). Here we first showed some summary statistics and plots about the data grouped by weekdays. Then we create several models to predict the response, shares in different channels.

Two links to the github page and the repo itself.

Thoughts

During this project, the most difficult part is to coordinate the progress of the project with the group partner. I usually prefer to start the work early and do a little everyday. However, other people may have some situation and prefer to work in a different pace. Next time, I probably would try to communicate with my group partner better, and set a more clear timeline of working progress (It may also not helpful…). I feel we did many things in a hurry during the last two days. In addition, I learned a lot from this process about prediction with different methods. The way of plan and thinking when getting a new data set. I also read a lot about the model selection which definitely gave me a more clear picture of predication.