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Welcome to Conundrum 28! Today we have a dataset of news articles from early in 2019, along with a host of useful data points both around engagement with each article and the article itself.
Can you build a model to predict what makes an engaging article? To do this you will have to do a little data prep before modelling - there are various engagement metrics and you will need a unified version of them to start building your model!
Once that’s done it’s time to dive into textual analysis, do readers prefer titles of positive or negative sentiment, what topics are driving clicks?
Happy modelling!
