As part of a data science course, this is a machine learning model that predicts how many shares an article will get based on the number of positive and negative words it contains. Through using a linear regression model to capture a linear pattern within the dataset, the model effectively reduces runtime exponentially while maintaining a high accuracy. Link below is a new repository due to forking issues.
- Modelhttps://github.com/edlng/SocialMediaShares/
- TypeData Science
- LanguageR