Comments (5)
Hi @szalmaf, could you please try this command to pull the data into the repo folder on your local environment?
aws s3 cp s3://handson-unsupervised-learning/datasets/ datasets --recursive --no-sign-request
The credit_card.csv file was too large to store on GitHub, so I moved it to S3.
The complete README instructions are here.
https://github.com/aapatel09/handson-unsupervised-learning#readme
Please do let me know if this works successfully for you because I just changed the instructions on Friday last week.
Thanks for the compliment!
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Hi @aapatel09,
Thanks for the quick reply. In the meantime, I figured out that I could get the csv file from one of the forks of the repository.
I just tried the 'aws ...' command. It does not work for me. It gives the following error message:
Traceback (most recent call last):
File "/usr/local/bin/aws", line 5, in
from aws.main import main
File "/usr/local/lib/python3.8/site-packages/aws/main.py", line 23
print '%(name)s: %(endpoint)s' % {
^
SyntaxError: invalid syntax
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Thanks for following up on this. I know you have the data now, but could you please try to download the data using the aws command, too? I would like to troubleshoot the issue you're having, and hopefully this will be a resource for others in the future in case they encounter similar errors.
Let's try this please:
aws s3 cp s3://handson-unsupervised-learning/datasets/ datasets --recursive --no-sign-request
Please use the aws command line above using Command Prompt on Windows or Terminal on Mac. You should run this within the repo */handson-unsupervised-learning so the data downloads directly into the datasets folder within the repo.
Also, did you pip install aws using this command on the command line?
pip install awscli==1.19.28
If you would rather run these commands within the Jupyter notebook, please try this:
!pip install awscli==1.19.28
!aws s3 cp s3://handson-unsupervised-learning/datasets/ datasets --recursive --no-sign-request
I would love feedback on whether this solves this issue for you. Thanks!
from handson-unsupervised-learning.
I am actually trying to use the data files from Google Colab.
As per you request, however, I tried the aws command again on my Mac laptop. After pip installing the exact version of awscli:
pip install awscli==1.19.28
and then cloning the handson-unsupervised-learning repo, cd-ing into it, the
aws s3 cp s3://handson-unsupervised-learning/datasets/ datasets --recursive --no-sign-request
command did work and downloaded the csv and other files.
Hope this little test helps the repo to be developed further. And thanks for your prompt help.
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Perfect. Glad to hear that this worked!
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Related Issues (17)
- xgboost on mac
- Train set for anomaly detection with PCA HOT 4
- Anomaly score for anomaly detection HOT 1
- about reproducibility HOT 1
- 02_end_to_end_machine_learning_project.ipynb Error HOT 1
- credit_card.csv is missing HOT 7
- why not splitting them before scaling datasets HOT 2
- Unnecessary complexity (I think)
- Group segmentation
- Where is the code for the optimal number of principal components (Chapter 4)?
- 02_end_to_end_machine_learning_project - LightGBM model not working
- 08 Autoencoders possible error HOT 1
- function view_digit (chapter 3) has hard-coded value HOT 7
- Denoising Autoencoders target label HOT 5
- 09_semisupervised - LightGBMError: Do not support special JSON characters in feature name. HOT 1
- 09_semisupervised - ValueError: Error when checking target: expected dense_3 to have shape (29,) but got array with shape (30,) HOT 1
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