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@@ -487,7 +487,7 @@ X_hd = pd.DataFrame(pd.np.tile(adData, (1, 500)))
From the output, you can see that the session crashes because all the
RAM provided by Jupyter has been used. The session will restart, and you
RAM provided by Jupyter has been used. The session might restart, and you
will lose all your variables. Hence, it is always good to be mindful of
the resources you are provided with, along with the dataset. As a data
scientist, if you feel that a dataset is huge with many features but the