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.
6 freelancers are bidding on average $189 for this job
Hello, I am machine learning practitioner , and is good in predictive models . Please let me know what your data is all about . Plz chat for more details Thanks Himanshu