Machine Learning with Scikit-Learn - 35 - Preprocessing - Binarization.ipynb

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    "## <center> Preprocessing Methods </center>\n",
    "\n",
    "- binarization\n",
    "- scaling\n",
    "- normalization\n",
    "- mean removal\n",
    "- etc.\n",
    "\n",
    "### 1. Binarization"
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    "from sklearn import preprocessing\n",
    "import numpy as np \n",
    "\n",
    "data = np.array([[2.2, 5.9, -1.8], [5.4, -3.2, -5.1], [-1.9, 4.2, 3.2]])"
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      "Binarized data:\n",
      "\n",
      " [[ 1.  1.  0.]\n",
      " [ 1.  0.  0.]\n",
      " [ 0.  1.  1.]]\n"
     ]
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   "source": [
    "bindata = preprocessing.Binarizer(threshold=1.5).transform(data)\n",
    "print('Binarized data:\\n\\n', bindata)"
   ]
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