Home » Feature Engineering » What are some of the advantages to exploring datasets with a UI tool like Cloud Dataprep What are some of the advantages to exploring datasets with a UI tool like Cloud Dataprep Preprocessing with Cloud Dataprep >>> What are some of the advantages to exploring datasets with a UI tool like Cloud Dataprep >>> Feature Engineering 1. Question 1 What are some of the advantages to exploring datasets with a UI tool like Cloud Dataprep? 1 point Dataprep uses Dataflow behind-the-scenes and you can create your transformations in a UI tool instead of writing Java or Python Dataprep allows for quick visual inspection of your dataset with accurate frequency histograms for every value in a column Dataprep has a number of transformation steps available that you can chain together as part of a recipe Dataprep supports outputting your data into BigQuery, Google Cloud Storage, or flat files ——————————————————————————————- 2. Question 2 TRUE or FALSE: You can automatically setup pipelines to run at defined intervals with Cloud Dataprep 1 point True False Other Questions Of This Category Which of these accurately describes the relationship between Apache Beam and Cloud DataflowDuring the training and serving phase tf TransformWhat is a feature crossWhich of the following process steps are considered a best practice in predictive modelingYou are building a model to predict the number of points ("margin") by which Team A will beat Team B in a basketball gameSelect ALL true statements regarding the ML EVALUATE functionFill in the blanks A good feature should be and haveBefore being input into an ML model raw data must be turned intoWhat is one hot encoding
