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Results tagged with data-science-model
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user 45264
Questions about the organization of elements of data, and the standardization of their relations.
5
votes
Accepted
Gradient Descent
Theoretically, it is possible to find a global minimum using gradient descent.
In reality, however, it rarely happens - it is also pretty much impossible to prove you have the global minimum!
Imagin …
- 15.1k
0
votes
Accepted
Data aggregation and split train test samples
If you are training the model based on the aggregated values anyway then it wouldn't make any difference on the final dataset that is fed to the model.
You might consider aggregating earlier in your …
- 15.1k
1
vote
Is a new datapoint similar to my reference set?
If you have many features, likely meaning many columns in your table of data, then you could try clustering. Something as simple as k-Nearest Neighbours could work nicely.
You would first fit a model …
- 15.1k
4
votes
Accepted
Reg. Pandas factorize()
From the documnetation
Encode the object as an enumerated type or categorical variable.
This method is useful for obtaining a numeric representation of an
array when all that matters is ide …
- 15.1k
2
votes
Why does my model's output look correct pattern-wise but with a consistent offset?
Given the relationship between temperature, pressure and volume, your theory about elevation differences might be valid. Altitude of course affects those measurements.
Scaling
Are you scaling your inp …
- 15.1k
2
votes
Accepted
How to convert input numpy data to tensorflow tf.data to train model in tensorfow?
You could try using the flow_from_directory() method on your ImageDataGenerator class, which does the augmentation - only a small change is necessary:
H = model.fit(
aug.flow_from_directory(trainX …
- 15.1k
3
votes
Is my iPython Installation Valid?
It looks fine to me :) the only problem is that your plot (resulting from In [18]) is being displayed on your computer in a separate window somewhere - maybe you have to find it. Once you close that …
- 15.1k