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%

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