📚 Add related projects section
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@ -259,6 +259,10 @@ When -1 is given to n_jobs parameter, all processors are used.
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estimator = Rumale::Ensemble::RandomForestClassifier.new(n_jobs: -1, random_seed: 1)
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```
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## Related Projects
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- [Rumale::SVM](https://github.com/yoshoku/rumale-svm) provides support vector machine algorithms in LIBSVM and LIBLINEAR with Rumale interface.
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- [Rumale::Torch](https://github.com/yoshoku/rumale-torch) provides the learning and inference by the neural network defined in torch.rb with Rumale interface.
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## Novelties
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* [Rumale SHOP](https://suzuri.jp/yoshoku)
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