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

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.

No concepts available.