All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
You are tasked with developing a spam email filter using machine learning. The dataset you have contains email samples labeled as "spam" or "not spam." Which features would you consider important for this classification task?
A. Sender's Email Address B. Word Frequency in the Email C. Font Style and Size D. Number of Links in the Email E. Email Attachment Size
Select the correct options:
You are working on a machine learning project to predict customer churn for a subscription-based service. The dataset you have includes customer information such as age, usage patterns, subscription type, and a unique customer ID for each record.
Why would using the customer ID as a feature for predicting churn be ineffective?
