1장 watermark 추가, 생성된 이미지 업로드

01_the_machine_learning_landscape.ipynb

@@ -1,5 +1,30 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPython 3.5.5\n",
+      "IPython 6.2.1\n",
+      "\n",
+      "numpy 1.14.1\n",
+      "scipy 1.0.0\n",
+      "sklearn 0.19.1\n",
+      "pandas 0.22.0\n",
+      "matplotlib 2.2.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -v -p numpy,scipy,sklearn,pandas,matplotlib"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -25,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -86,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -122,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -179,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -398,7 +423,7 @@
        "[2 rows x 24 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -412,7 +437,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -427,7 +452,7 @@
        "Name: Life satisfaction, dtype: float64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -452,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -533,7 +558,7 @@
        "Albania            3995.383                 2010.0  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -548,7 +573,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1922,7 +1947,7 @@
        "[36 rows x 30 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1935,7 +1960,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1946,7 +1971,7 @@
        "Name: United States, dtype: float64"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1957,7 +1982,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1970,7 +1995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -2007,7 +2032,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2016,7 +2041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -2051,16 +2076,6 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>France</th>\n",
-       "      <td>37675.006</td>\n",
-       "      <td>6.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>United States</th>\n",
-       "      <td>55805.204</td>\n",
-       "      <td>7.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>Hungary</th>\n",
        "      <td>12239.894</td>\n",
        "      <td>4.9</td>\n",
@@ -2071,10 +2086,20 @@
        "      <td>5.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>France</th>\n",
+       "      <td>37675.006</td>\n",
+       "      <td>6.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>Australia</th>\n",
        "      <td>50961.865</td>\n",
        "      <td>7.3</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>United States</th>\n",
+       "      <td>55805.204</td>\n",
+       "      <td>7.2</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -2082,14 +2107,14 @@
       "text/plain": [
        "               GDP per capita  Life satisfaction\n",
        "Country                                         \n",
-       "France              37675.006                6.5\n",
-       "United States       55805.204                7.2\n",
        "Hungary             12239.894                4.9\n",
        "Korea               27195.197                5.8\n",
-       "Australia           50961.865                7.3"
+       "France              37675.006                6.5\n",
+       "Australia           50961.865                7.3\n",
+       "United States       55805.204                7.2"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2100,7 +2125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -2136,7 +2161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -2145,7 +2170,7 @@
        "(4.853052800266436, 4.911544589158483e-05)"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2162,7 +2187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2190,7 +2215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2206,7 +2231,7 @@
        "5.96244744318815"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2220,7 +2245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -2251,7 +2276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -2312,7 +2337,7 @@
        "Spain          25864.721                6.5"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2323,7 +2348,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -2332,7 +2357,7 @@
        "5.766666666666667"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2343,7 +2368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -2428,7 +2453,7 @@
        "Luxembourg          101994.093                6.9"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2439,7 +2464,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2456,7 +2481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2498,7 +2523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
     "scrolled": true
    },
@@ -2546,7 +2571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2560,7 +2585,7 @@
        "Name: Life satisfaction, dtype: float64"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2571,7 +2596,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2688,7 +2713,7 @@
        "Norway            74822.106                 2015.0  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2699,7 +2724,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "scrolled": true
    },