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## convex_hull.ipynb

      
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              February 8, 2019 20:18
            
              
                convex hull: gift wrapping / graham scan
              
          
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## type_identify.py
arr = np.array([1, 2, 3])
print(type(arr))
# <class 'numpy.ndarray'>
print(isinstance(arr, (np.ndarray)))
# True

ls = [1, 2, 3]
print(type(ls))
# <class 'list'>
print(isinstance(ls, (np.ndarray)))

## TSP.ipynb

      
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              January 29, 2019 00:59
            
              
                TSP OPT
              
          
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## hyperopt_gen_simple.ipynb

      
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              Last active
              November 20, 2018 15:20
            
              
                Kaggle: Digital Recognizer(MNIST) by Hyperopt + fit_generator
              
          
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## hyperopt_aug_mnist.ipynb

      
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              May 5, 2020 09:11
            
              
                Kaggle: Digital Recognizer(MNIST) by Hyperopt + Data Augment
              
          
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## gpyopt_mnist.ipynb

      
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                / gpyopt_mnist.ipynb
            
            
              Last active
              March 5, 2019 15:08
            
              
                Kaggle Didital Recognizer(MNIST) using GPyOpt
              
          
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## hyperopt_mnist.ipynb

      
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                / hyperopt_mnist.ipynb
            
            
              Created
              November 10, 2018 08:19
            
              
                Kaggle: Digital Recognizer(MNIST) by Hyperopt
              
          
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## simple_hyperas.ipynb

      
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              November 9, 2018 20:54
            
              
                Kaggle Digit recognizer(MNIST) by Hyperas
              
          
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## auto-keras-mnist.ipynb

      
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                / auto-keras-mnist.ipynb
            
            
              Created
              November 5, 2018 03:10
            
              
                Kaggle: Digit Recognizer, Auto-Keras
              
          
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## Titanic-one-hot.ipynb

      
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                / Titanic-one-hot.ipynb
            
            
              Created
              November 3, 2018 18:32
            
              
                Titanic One-Hot Keras CNN
              
          
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	arr = np.array([1, 2, 3])
	print(type(arr))
	# <class 'numpy.ndarray'>
	print(isinstance(arr, (np.ndarray)))
	# True

	ls = [1, 2, 3]
	print(type(ls))
	# <class 'list'>
	print(isinstance(ls, (np.ndarray)))