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Results tagged with preprocessing
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user 50727
Data preprocessing is a data mining technique that involves transforming raw data into a better understandable or more useful format.
1
vote
Accepted
Handling features with multiple values per instance in Python for Machine Learning model
A possible resource is featuretools, they do feature engineering on data that has many records. Their examples are not from medical cases but I think it should work for you too.
You can also manually …
- 6,106
1
vote
Accepted
How to scale prediction back after preprocessing
I think your methodology is correct, but this line:
# Scale features
# X = preprocessing.scale(X)
should be changed to:
# Scale features
# X = preprocessing.scale(X, axis = 1)
As the default for …
- 6,106
1
vote
normalization/denormalization for linear regression problem
I think it is ok, as long as your training and test data have the same maximum values for every feature, approximately. The idea is that the scaling has to be done with the training set (remember that …
- 6,106
0
votes
What pre processing should I use on data to feed into a CNN?
Usually it helps to have data centered at 0 and with standard deviation 1. I would reescale it such thar its standard deviation is 1. Appart from that, everything looks good.
- 6,106
18
votes
Accepted
Image resizing and padding for CNN
This question on stackoverflow might help you. To sum up, some deep learning researchers think that padding a big part of the image is not a good practice, since the neural network has to learn that t …
- 6,106