Make notebooks 1 to 9 runnable in Colab without changes

ageron · Nov 5, 2019 · a55720e · a55720e
1 parent 7e35fdc
commit a55720e
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Showing 9 changed files with 399 additions and 253 deletions.
diff --git a/01_the_machine_learning_landscape.ipynb b/01_the_machine_learning_landscape.ipynb
@@ -9,6 +9,17 @@
     "_This is the code used to generate some of the figures in chapter 1._"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table align=\"left\">\n",
+    "  <td>\n",
+    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/ageron/handson-ml2/blob/master/01_the_machine_learning_landscape.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+    "  </td>\n",
+    "</table>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -111,6 +122,21 @@
    "execution_count": 6,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# Download the data\n",
+    "DOWNLOAD_ROOT = \"https://raw.githubusercontent.com/ageron/handson-ml2/master/\"\n",
+    "os.makedirs(datapath, exist_ok=True)\n",
+    "for filename in (\"oecd_bli_2015.csv\", \"gdp_per_capita.csv\"):\n",
+    "    print(\"Downloading\", filename)\n",
+    "    url = DOWNLOAD_ROOT + \"datasets/lifesat/\" + filename\n",
+    "    urllib.request.urlretrieve(url, datapath + filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Code example\n",
     "import matplotlib.pyplot as plt\n",
@@ -201,7 +227,7 @@
   },
   {
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-   "execution_count": 7,
+   "execution_count": 8,
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@@ -228,7 +254,7 @@
   },
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@@ -253,7 +279,7 @@
   },
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@@ -265,7 +291,7 @@
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@@ -288,7 +314,7 @@
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+   "execution_count": 12,
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@@ -301,7 +327,7 @@
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@@ -312,7 +338,7 @@
   },
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+   "execution_count": 14,
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@@ -321,7 +347,7 @@
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+   "execution_count": 15,
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@@ -334,7 +360,7 @@
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+   "execution_count": 16,
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@@ -360,7 +386,7 @@
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+   "execution_count": 17,
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@@ -369,7 +395,7 @@
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+   "execution_count": 18,
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@@ -378,7 +404,7 @@
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-   "execution_count": 18,
+   "execution_count": 19,
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@@ -403,7 +429,7 @@
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+   "execution_count": 20,
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@@ -418,7 +444,7 @@
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+   "execution_count": 21,
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@@ -435,7 +461,7 @@
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+   "execution_count": 22,
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@@ -447,7 +473,7 @@
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+   "execution_count": 23,
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@@ -467,7 +493,7 @@
   },
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+   "execution_count": 24,
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@@ -476,7 +502,7 @@
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+   "execution_count": 25,
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@@ -485,7 +511,7 @@
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+   "execution_count": 26,
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@@ -506,7 +532,7 @@
   },
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+   "execution_count": 27,
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@@ -543,7 +569,7 @@
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+   "execution_count": 28,
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@@ -552,7 +578,7 @@
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+   "execution_count": 29,
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@@ -561,7 +587,7 @@
   },
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+   "execution_count": 30,
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@@ -578,7 +604,7 @@
   },
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-   "execution_count": 30,
+   "execution_count": 31,
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@@ -610,7 +636,7 @@
   },
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    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
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@@ -635,7 +661,7 @@
   },
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+   "execution_count": 33,
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@@ -644,7 +670,7 @@
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+   "execution_count": 34,
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@@ -653,7 +679,7 @@
   },
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+   "execution_count": 35,
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@@ -685,7 +711,7 @@
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+   "execution_count": 36,
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@@ -697,7 +723,7 @@
   },
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+   "execution_count": 37,
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@@ -708,7 +734,7 @@
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+   "execution_count": 38,
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@@ -719,7 +745,7 @@
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-   "execution_count": 38,
+   "execution_count": 39,
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@@ -758,7 +784,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.7.3"
   },
   "nav_menu": {},
   "toc": {