Review J

ml1/2_2_Read_Data.ipynb

@@ -4,27 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](files/images/EscUpmPolit_p.gif \"UPM\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Course Notes for Learning Intelligent Systems"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "![](files/images/EscUpmPolit_p.gif \"UPM\")\n",
+    "\n",
+    "# Course Notes for Learning Intelligent Systems\n",
+    "\n",
+    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias\n",
+    "\n",
     "## [Introduction to Machine Learning](2_0_0_Intro_ML.ipynb)"
    ]
   },
@@ -51,7 +36,7 @@
    "source": [
     "The goal of this notebook is to learn how to read and load a sample dataset.\n",
     "\n",
-    "Scikit-learn come with some bundled [datasets](http://scikit-learn.org/stable/datasets/): iris, digits, boston, etc.\n",
+    "Scikit-learn comes with some bundled [datasets](http://scikit-learn.org/stable/datasets/): iris, digits, boston, etc.\n",
     "\n",
     "In this notebook we are going to use the Iris dataset."
    ]
@@ -78,12 +63,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In ordert to read the dataset, we import the bundle datasets and then load the Iris dataset. "
+    "In ordert to read the dataset, we import the datasets bundle and then load the Iris dataset. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -105,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -116,7 +101,7 @@
        "sklearn.datasets.base.Bunch"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -128,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -204,12 +189,12 @@
    ],
    "source": [
     "# print descrition of the dataset\n",
-    "print (iris.DESCR)"
+    "print(iris.DESCR)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -229,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -249,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -260,7 +245,7 @@
        "numpy.ndarray"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -279,7 +264,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -472,7 +457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -493,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -513,7 +498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -533,7 +518,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -553,7 +538,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -575,7 +560,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In another session, we will learn how to load a dataset from a file (csv, excel, ...). We will use the library pandas for this purpose."
+    "In following sessions we will learn how to load a dataset from a file (csv, excel, ...) using the pandas library."
    ]
   },
   {
@@ -625,7 +610,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.1"
+   "version": "3.5.1+"
   }
  },
  "nbformat": 4,