The EveryLibrary Institute is working with the Syracuse University School of Information Studies to establish this collaborative project between researchers and practitioners with the goal of developing an open-access interactive online platform that increases understanding of return on investment of public libraries at the local, state, and national level; identifies major factors influencing ROI, including similarities and…
Have you ever wondering how Netflix know what movies you probably like? Or if you watch Stranger Things that Netflix is likely to suggest to you is the ET: The Extra-Terrestrial. Basic on the customer viewing behavior data, we can predict users discover the exact content they want to watch. Similar products method is one of the…
Using R shiny, a web application framework, the user can explore the movies dataset base on language, genres, min number of reviews on Rotten Tomatoes, year released and Oscar wins.
Discovering whether data are of acceptable quality is a measurement task and not a very easy one. In this data quality project, I used excel and python to deal with Consumer Complaint Database, complaints about financial products and services.Data quality is important because, without high-quality data, you cannot understand or stay in contact with your customers.…
Use R to explore a real-life data set, then preprocess the data set such that it’s in the appropriate format before applying the credit risk models. First, I examed the dataset loan_data discussed in the video throughout the exercises in DataCamp. Goal: understand the number, percentage of defaults. To learn more about variable structures and spot unexpected…