Which of the following techniques can be used to improve a linear regression mod

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Question: Which of the following techniques can be used to improve a linear regression model?

Options:

Correct Answer: Feature scaling

Solution:

Feature scaling can help improve the performance of a linear regression model, especially when predictors are on different scales.

Which of the following techniques can be used to improve a linear regression model?

Which of the following techniques can be used to improve a linear regression model?

Step 1: Understand that a linear regression model predicts a target variable based on one or more predictor variables.
Step 2: Recognize that predictor variables can have different units or scales (e.g., height in cm and weight in kg).
Step 3: Learn about feature scaling, which is a technique to standardize or normalize the scales of predictor variables.
Step 4: Realize that feature scaling can help the model learn better by ensuring that all predictors contribute equally to the model's performance.
Step 5: Apply feature scaling methods like Min-Max scaling or Standardization to your predictor variables before training the model.

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