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Supervised machine learning
Doesn't matter which algorithm
Take the params of a single patient, with the DNA age and predict if it has metastasis or not
and this is compared to the ability to predi…
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It would be nice if the following worked, instead of throwing an error:
```julia
categorical(fill(missing, 4), levels=["inlier", "outlier"], ordered=true)
```
**edit** corrected as pointed ou…
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## Project Request
The problem statement urges the need to use Machine Learning techniques such as logistic regression and nlp concept of sentiment analysis to predict the mail as Spam or Ham
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See this pdf as reference of the different algorithms
http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf
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## About
Follow up untuk #75 #96. Terimakasih untuk feedback dari teman-teman, semoga issue ini memperjelas dan membuat pemahaman kita menjadi sama.
Oke di issue ini akan lebih di jelaskan lagi tent…
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Can someone provide an explanation, with examples, of supervised versus unsupervised learning/clustering/classification? Is there such a thing as semi-supervised learning?
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Hello,
I was getting started with a graph classification problem and i tried the Supervised Graph Classification with GCN. I have graphs in gml format which i opened with networkx and then converte…
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Problem:
Predicting the orientation of human faces in images is a fundamental task in computer vision with numerous applications. It involves determining the pose or angle at which a person's face is…
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# Homework
- The Data Science process (PACE): Plan, Analyze, Construct, Execute https://www.linkedin.com/pulse/pace-framework-nafiz-shahriar
- Find a dataset on Kaggle that interests you
- Come up…