Imagine you've been approached by a company that's dealing with a flood of emails daily. They are struggling to sift through the massive volume of emails, and they desperately need a solution to identify whether an incoming email is spam or not. The company wants you to develop a smart predictive model that can automatically classify emails into two categories: spam or not spam.

They've provided you with a dataset containing information about various emails. This dataset includes features such as the length of the email, the number of links it contains, and the total number of words. The data analyst's task is to leverage this data and build a model that can accurately predict, based on these features, whether an email is likely to be spam or not.