ml-engineer-pro video for you are developing a linear model that involves more than 100 input features, all of which have values ranging from -1 to 1. You have
You are developing a linear model that involves more than 100 input features, all of which have values ranging from -1 to 1. You have a suspicion that many of these features do not provide valuable information for your model. Your objective is to eliminate the non-informative features while preserving the informative ones in their original state. What technique is most suitable for achieving this goal?