ASSIGNMENTS#4_BD107_Dhea Yunita

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 sudah mengerjakan tugas dengan baik dan benar

Jawaban : Disini

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