Using the dataset from Yelp, our aim is to build a personalized prototype of a restaurant recommendation system to provide a new restaurant suggestion that a user might like based on the user profile. The engine is not only considered the interaction between customers and restaurants but also contains metadata representing customers' taste and restaurant functions.
By using the US census data from UCI Machine Learning Repository, the goal of this project is to explore the US Adult Income data and develop a model to predict whether an individual's income will be less than or equal to $50,000, or greater than $50,000.