Question 73:
You work as a machine learning specialist for a real estate company. You are using the Kaggle housing prices data as your experimentation data to optimize your model before using your model on the real estate data for your area of the country. You have a hypothesis that you can predict the price of a real estate property based on the foundation type. You have your data from Kaggle. But you want to make sure your model is not overly influenced by outliers. What is the quickest way to identify outliers in your data?
Answer options:
A.Arrange your data points from lowest to highest, calculate the median of the data set and use a qualitative assessment to determine whether to remove outliers. B.Calculate the Z-Score for your data points. C.Visualize your data using scatter plots and/or box plots. D.Visualize your data using network and correlation matrices.