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‎README.md‎

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@@ -22,10 +22,10 @@ This paper and code will help industrial users, data analysts, and researchers t
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Sample code for hyper-parameter optimization implementation for machine learning algorithms is provided in this repository.
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**Sample code for Regression problems**
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[HPO_Regression.ipynb](https://www.google.ca/)
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[HPO_Regression.ipynb](https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms/blob/master/HPO_Regression.ipynb)
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Dataset used: [Boston-Housing](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html)
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**Sample code for Classification problems**
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[HPO_Classification.ipynb](https://www.google.ca/)
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[HPO_Classification.ipynb](https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms/blob/master/HPO_Classification.ipynb)
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Dataset used: [MNIST](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits)
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**Machine learning algorithms used:**

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