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. # load the data in the form of a csv estData = pd.read_csv("/content/realtor-data.csv") # drop NaN values from the dataset estData = estData.dropna() # split the labels and remove non-numeric data y = estData["price"].values Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL!
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