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2. Analyze the data and find relevant insights after cleaning and
preprocessing the data.
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+ 3. Build a model to predict the engagement a post will likely receive, given the time of posting, the number of upvotes, the number of comments, and other factors.
Further report is available in the report folder (https://github.com/ritudimr/EAS_504/blob/main/Report/report.pdf).