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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PredictingOnlineNewsPopularity\nUsing Machine Learning Algorithms, created a model for predicting the popularity of an online news article on Mashable with 79% accuracy along with forecasting a profitability of $1,182,400 using the cost matrix for model.\n\nProblem Statement:\nThe dataset is about articles published by Mashable in a period of two years.\nThe Mashable team wants to identify articles which will become popular based on the historical data.\nThe team wants to identify and set the right price for advertisements based on their popularity.\n\nProject Goal:\nThe goal is to predict if the article is among the most popular ones based on sharing in social networks.\nWe decided to find the best predictive model in the dataset by data engineering and utilizing Machine Learning algorithms to achieve the 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