@@ -22,10 +22,10 @@ This paper and code will help industrial users, data analysts, and researchers t
2222Sample code for hyper-parameter optimization implementation for machine learning algorithms is provided in this repository. 
2323
2424** Sample code for Regression problems**  
25- [ HPO_Regression.ipynb] ( https://www.google.ca/  )  
25+ [ HPO_Regression.ipynb] ( https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms/blob/master/HPO_Regression.ipynb  )  
2626Dataset used: [ Boston-Housing] ( https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html )  
2727** Sample code for Classification problems**  
28- [ HPO_Classification.ipynb] ( https://www.google.ca/  )  
28+ [ HPO_Classification.ipynb] ( https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms/blob/master/HPO_Classification.ipynb  )  
2929Dataset used: [ MNIST] ( https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html#sklearn.datasets.load_digits )  
3030
3131** Machine learning algorithms used:**  
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