project description:Machine Learning

Build a real-time predictive analytics model to help regular user to evaluate the security level of a web browser for safer Internet surfing. The model will measure the risk associated with using web browsers instantly. The model will learn from a historical data to assess a risk level of a web browser. We need to train the predictive model to generate scoring rules and deploy them in a real time system where we can plug in data that comes from an action and evaluate the risk level in a real time. Also, to build that model we need to study the relationship between unusual behavior in the collected data, and any associated web browsers attacks. Thereby, we can get an accurate assessment of the security of web browser.