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Please visit the [**wiki**](https://github.com/ksator/Machine_Learning_with_Python/wiki) for the project documentation.
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The python examples cover how to:
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- load a labeled dataset
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- examine the dataset
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- manipulate the dataset
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- graph the dataset
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- use a supervised classification algorithm
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- train the machine learning algorithm
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- evaluate the performance of the trained model
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- use the trained model to make predictions
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Please visit the [**wiki**](https://github.com/ksator/Machine_Learning_with_Python/wiki) for the project documentation. It has a "machine learning with python" tutorial:
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-[What to find in this repository](https://github.com/ksator/Machine_Learning_with_Python/wiki/What-to-find-in-this-repository)
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-[About the Python libraries used in this repo](https://github.com/ksator/Machine_Learning_with_Python/wiki/About-the-Python-libraries-used-in-this-repo)
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-[Euclidean distance vs Manhattan distance](https://github.com/ksator/Machine_Learning_with_Python/wiki/Euclidean-distance-vs-Manhattan-distance)
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