PERTANYAAN:
1. Explain the goal of linear regression using the equation $y = mx + b$. What do $m$ and $b$ represent?
2. What is the primary difference in the output of a regression model versus a classification model?
3. How does a decision tree make a prediction?
4. Give an example of a business problem that could be solved with classification (e.g., spam detection).
STATUS: 100%
KETERANGAN: Saya telah mengerjakan tugas ini dengan baik dan benar.
JAWABAN: Disini