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NewsTrendsAnalytics

A) Basic Model : Use data features after preprocessing Evaluating all Models

B) Rank Based Model: Considers popularity of one news item affecting share value of other news items. Evaluating all Models

C) Dimension Reductionality + Rank Model - Dimensionality reduction used along with the rank model for prediction. Notebook

D) Under Sampling + Dimension Reductionality + Rank Model - added under sampling for the news item with 0 shares as there were very high number of such items. Notebook

E) Time Series Based - Used Recurrentmd Neural Network LSTM cells. Notebook

F) Dashboard analytics

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