Workbench
111 results found
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Unable to launch your lab. Please try again.
I can't acces to Jupyter Notebooks from the Applied Data Science Specialization
26 votes -
Jupyter Notebook 500 Internal Server Error
Unable to load any of the Jupyter Notebook hand on lab environment today. All shows 500 Internal server error. Please fix. Thanks
4 votes -
500 Internal Server Error. Sorry, something went wrong.
I can not access the Jupiter Notebook to practice and complete the lab.
1 vote -
Building Deep Learning Models with TensorFlow week 4 and week 5 labs not loading. Error 500/
Building Deep Learning Models with TensorFlow week 4 and week 5 labs not loading. Error 500/
1 vote -
speak to
hello M wouaf
1 vote -
hello
hello
1 vote -
Developer
no idea
1 vote -
Developer
The course which suggested by my college are very helpful in promotion of my knowledge.
1 vote -
500 Internal Server Error
i am trying to Access this but it is showing 500 internal server Error...
1 vote -
1 vote
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500 Internal Server Error while opening Jupyter Notebook lab
I am getting a Server error while opening Jupyter Notebook lab via coursera. Need some help here
4 votes -
Train and Test
The train/test split involves dividing the dataset into separate, mutually exclusive training and testing sets. Then you practise using the practise set and perform the test with the test set. As the testing dataset is separate from the dataset that was used to train the data, this will give a more accurate assessment of out-of-sample accuracy. For issues in the actual world, it is more realistic.
2 votes -
Test
Perfect
1 vote -
Scam Detection
Make such model which detects the online scammers !!!
2 votes -
1 vote
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K Means
Customer_Id, Gender, Age, Annual Income ($), and Spending Score (a score that represents how much a client has spent at the mall; the higher the score, the more he has spent) are all included in the dataset. We need to calculate certain patterns from this dataset because the method is unsupervised and we are unsure of the precise calculations to make.
1 vote -
Multiclass Predcition
The increased number of features is mainly from one-hot encoding where we expanded categorical features into multiple features per category. We’ve actually eliminated more than half of the features before one-hot encoding, from 42 features to just 20.
1 vote -
3 votes
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3 votes
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2 votes
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