📧 Welcome, Spam Detective!

Your mission: Tune a logistic regression model to catch spam emails without blocking legitimate ones!

• Adjust feature weights — Positive weights increase spam probability, negative weights decrease it
• Watch the probability — See how each feature contributes to the final score
• Make the call — Decide if the model should flag it as spam or let it through
• Balance precision & recall — Catch spam, but don't annoy users with false positives!

The sigmoid function σ squashes any value into a 0-1 probability. Your job is finding the right weights!