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…
Machine Learning & AI Foundations: Movies Recommendations Part 1
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…
Data Visualization Project : Movie Database
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.
Data Quality : Bank Consumer Database
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.…
Credit Risk Modeling in R
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…