Predict a Company's Stock Price from Six Years of Web Search Logs

Consider a dataset spanning six years of web search traffic, with one row per search event. The columns are: Column Type Meaning timestamp datetime When the search happened device_id string Pseudonymous identifier for the device location string Geographic area associated with the search query string Text entered by the user url string Result link the user clicked Your task is to engineer features from this dataset and build a model that estimates the stock price of a chosen…