I used XGBoost to analyze the Online News Popularity Data and predict the popularity of online news articles. The aim is to construct a model and extract feature importance. The research question is as follows: Can gradient boosting be constructed based solely on the research data?
H0: Gradient boosting cannot be made from the Online News Popularity dataset.
H1: Gradient boosting can be made from the Online News Popularity dataset.
https://github.com/ecdedios/d214-online-news-popularity/tree/main
A work in progress…
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