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Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking sites - Facebook.

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decision-tree-regressor facebook-comments grid-search-cross-validation grid-search-hyperparameters hold-out-cross-validation linear-regression machine-learning python random-forest-regressor regression-models

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