MLS-C01 · Question #264
An online store is predicting future book sales by using a linear regression model that is based on past sales data. The data includes duration, a numerical feature that represents the number of days
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Question
An online store is predicting future book sales by using a linear regression model that is based on past sales data. The data includes duration, a numerical feature that represents the number of days that a book has been listed in the online store. A data scientist performs an exploratory data analysis and discovers that the relationship between book sales and duration is skewed and non- linear. Which data transformation step should the data scientist take to improve the predictions of the model?
Options
- AOne-hot encoding
- BCartesian product transformation
- CQuantile binning
- DNormalization
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