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 TransformWhich of the following process steps are considered a best practice in predictive modelingWhat is a feature crossYou 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
