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