Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
You are working on a machine learning project that requires training models on a large dataset. Which of the following steps should you take to ensure the data quality of the dataset used for training?
A
Perform data sampling to identify any missing or inconsistent data points and then manually correct them before training the models.
B
Use a data profiling tool to analyze the dataset and identify any anomalies or inconsistencies in the data before training the models.
C
Assume that the dataset is of high quality and train the models without any data validation or profiling.
D
Implement a data validation process that checks for data completeness, consistency, accuracy, and integrity before training the models.
