Which preprocessing step will meet these requirements?
A data scientist obtains a tabular dataset that contains 150 correlated features with different ranges to build a regression model.The data scientist needs to achieve more efficient model training by implementing a solution that minimizes impact on the model’s performance.The data scientist decides to perform a principal component analysis (PCA) preprocessing step to reduce the number of features to a smaller set of independent features before the data scientist uses the new features in the regression model.Which preprocessing step will meet these requirements?Read More →