Chapter01/Exercise1.01/Exercise1_01.ipynb

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    "algorithm = ['Linear Regression', 'Logistic Regression', 'RandomForest', 'a3c']"
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    "learning = ['Supervised', 'Supervised', 'Supervised', 'Reinforcement']"
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    "algorithm_type = ['Regression', 'Classification', 'Regression or Classification', 'Game AI']"
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    "algorithm.append('k-means')"
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     "text": [
      "['Linear Regression', 'Logistic Regression', 'RandomForest', 'a3c', 'k-means']\n"
     ]
    }
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   "source": [
    "print(algorithm)"
   ]
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    "learning.append('Unsupervised')"
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     "text": [
      "['Supervised', 'Supervised', 'Supervised', 'Reinforcement', 'Unsupervised']\n"
     ]
    }
   ],
   "source": [
    "print(learning)"
   ]
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  {
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   "execution_count": 8,
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    "algorithm_type.append('Clustering')"
   ]
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   "execution_count": 9,
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     "text": [
      "['Regression', 'Classification', 'Regression or Classification', 'Game AI', 'Clustering']\n"
     ]
    }
   ],
   "source": [
    "print(algorithm_type)"
   ]
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   "execution_count": 10,
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    "colab": {},
    "colab_type": "code",
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   "source": [
    "machine_learning = {}"
   ]
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   "execution_count": 11,
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   "source": [
    "machine_learning['algorithm'] = algorithm"
   ]
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   "execution_count": 12,
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     "text": [
      "{'algorithm': ['Linear Regression', 'Logistic Regression', 'RandomForest', 'a3c', 'k-means']}\n"
     ]
    }
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   "source": [
    "print(machine_learning)"
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    "machine_learning['learning'] = learning"
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    "machine_learning['algorithm_type'] = algorithm_type"
   ]
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   "execution_count": 15,
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     "text": [
      "{'algorithm': ['Linear Regression', 'Logistic Regression', 'RandomForest', 'a3c', 'k-means'], 'learning': ['Supervised', 'Supervised', 'Supervised', 'Reinforcement', 'Unsupervised'], 'algorithm_type': ['Regression', 'Classification', 'Regression or Classification', 'Game AI', 'Clustering']}\n"
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    }
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    "print(machine_learning)"
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   "execution_count": 16,
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    "machine_learning['algorithm'].remove('a3c')"
   ]
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   "execution_count": 17,
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     "output_type": "stream",
     "text": [
      "['Linear Regression', 'Logistic Regression', 'RandomForest', 'k-means']\n"
     ]
    }
   ],
   "source": [
    "print(machine_learning['algorithm'])"
   ]
  },
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   "execution_count": 18,
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    "colab_type": "code",
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    "machine_learning['learning'].remove('Reinforcement')"
   ]
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    "machine_learning['algorithm_type'].remove('Game AI')"
   ]
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   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
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     "text": [
      "{'algorithm': ['Linear Regression', 'Logistic Regression', 'RandomForest', 'k-means'], 'learning': ['Supervised', 'Supervised', 'Supervised', 'Unsupervised'], 'algorithm_type': ['Regression', 'Classification', 'Regression or Classification', 'Clustering']}\n"
     ]
    }
   ],
   "source": [
    "print(machine_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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