Hello, I'm new to GitHub and DS so I don't know if this is the correct process for this (please let me know). But when I run the data preprocessing notebook and then the nn notebook. I always get an error when trying to implement the model. The shape of my data is different from the shape that is shown in the notebook on GitHub.
From the nn notebook when I run it on my end:
#shape
X[0].shape, Y[0].shape
((3492, 180), (3492, 10))
But in the GitHub notebook it says the data shape should be:
#shape
X[0].shape, Y[0].shape
((873, 180), (873, 10), (888, 180), (888, 10))
any idea why this could be happening? I didn't change anything from the original notebook.
Hello, I'm new to GitHub and DS so I don't know if this is the correct process for this (please let me know). But when I run the data preprocessing notebook and then the nn notebook. I always get an error when trying to implement the model. The shape of my data is different from the shape that is shown in the notebook on GitHub.
From the nn notebook when I run it on my end:
#shape
X[0].shape, Y[0].shape
((3492, 180), (3492, 10))
But in the GitHub notebook it says the data shape should be:
#shape
X[0].shape, Y[0].shape
((873, 180), (873, 10), (888, 180), (888, 10))
any idea why this could be happening? I didn't change anything from the original notebook.