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README.md

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@@ -11,6 +11,6 @@ Please visit the [**wiki**](https://github.com/ksator/Machine_Learning_with_Pyth
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- [classification using SVC (Support vector classifier)](https://github.com/ksator/Machine_Learning_with_Python/wiki/classification-using-SVC-(Support-vector-classifier))
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- [Graph a dataset using matplotlib](https://github.com/ksator/Machine_Learning_with_Python/wiki/Graph-a-dataset-using-matplotlib)
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- [Use k-Fold Cross Validation to evaluate the performance of a trained model](https://github.com/ksator/Machine_Learning_with_Python/wiki/Use-k-Fold-Cross-Validation-to-evaluate-the-performance-of-a-trained-model)
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- [Remove irrelevant features to reduce overfitting](https://github.com/ksator/Machine_Learning_with_Python/wiki/Remove-irrelevant-features-to-reduce-overfitting)
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- [Remove irrelevant features to reduce overfitting using RFE (Recursive Feature Elimination)](https://github.com/ksator/Machine_Learning_with_Python/wiki/Remove-irrelevant-features-to-reduce-overfitting-using-RFE-(Recursive-Feature-Elimination))
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- [transform non numerical labels to numerical labels with LabelEncoder](https://github.com/ksator/Machine_Learning_with_Python/wiki/transform-non-numerical-labels-to-numerical-labels-with-LabelEncoder)
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- [split a column into multiple columns with OneHotEncoder](https://github.com/ksator/Machine_Learning_with_Python/wiki/split-a-column-into-multiple-columns-with-OneHotEncoder)

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