Finding a street parking spot during peak hours is always headache due to availability, price and safety concerns. The ideal parking spot would provide sense of comfort and safety.
Current parking spot-finding products (Parkopedia and ParkMobile) offer only location and price data with no regard for crime or policing. Users...
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As defined in Merriam-Webster, “customer churn” , in a business sense, is a regular, quantifiable process or rate of change that occurs over a period of time, due...
This case study is one of the take-home assignment provided by Starbucks for their job candidates. It is a great example of 1) hypothesis testing and 2) machine learning in business analytics. More specifically, hypothesis testing was performed to evaluate data gathered from A/B testing, and determine levels of significance...
The purpose of this project is to explore the power of reinforcement learning in training a simulated Lander agent to land on the moon surface. The implementation of the agent utilized function approximations to adjust the weights of underlying models during training phase, instead of using tabular approaches typically for...
This project is aimed at constructing a web-based pipeline to classify messages potentially related to disaster response. If related, the message is further classified into an individual category, such as ‘Request’, ‘Food’, ‘Water’, etc. This web-based application and underlying machine learning classifier can facilitate disaster response task by deciding whether...