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rugantio · May 29, 2018 · ddcfe3d · ddcfe3d
1 parent 2b6d7e7
commit ddcfe3d
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Showing 32 changed files with 23,410 additions and 93 deletions.
diff --git a/class03_Basic-Data-Manipulation.ipynb b/class03_Basic-Data-Manipulation.ipynb
@@ -205,7 +205,7 @@
    "outputs": [],
    "source": [
     "# check the population in the US\n",
-    "print int(dataset['00000']['POP010210']) == 308745538"
+    "print(int(dataset['00000']['POP010210'])) == 308745538"
    ]
   },
   {

diff --git a/class03b_Pandas-Data-Manipulation.ipynb b/class03b_Pandas-Data-Manipulation.ipynb
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -43,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dataset_fname = \"data/DataSet.txt\"\n",
@@ -70,9 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
@@ -99,9 +93,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
@@ -110,9 +102,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# to check\n",
@@ -145,9 +135,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
@@ -156,9 +144,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print (counties_count_by_state['36'])"
@@ -174,9 +160,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def county_fips_for_state(state_fips):\n",
@@ -186,9 +170,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# check for NY\n",
@@ -205,9 +187,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dataset = pd.read_csv(dataset_fname, dtype={'fips': str}).set_index('fips')"
@@ -216,9 +196,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# check the population in the US\n",
@@ -235,9 +213,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
@@ -253,9 +229,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "int(dataset.ix['36000']['POP010210'])  # total 2010 population of NY"
@@ -264,9 +238,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
@@ -282,22 +254,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# YOUR CODE HERE"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -316,7 +277,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class04_Numpy.ipynb b/class04_Numpy.ipynb
@@ -1294,7 +1294,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class05_Plotting.ipynb b/class05_Plotting.ipynb
@@ -192,9 +192,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd"
@@ -269,7 +267,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class06_Scikit-Learn.ipynb b/class06_Scikit-Learn.ipynb
@@ -138,9 +138,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.datasets import load_iris\n",
@@ -244,9 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn import datasets"
@@ -273,9 +269,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.linear_model import LinearRegression"
@@ -317,9 +311,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "x = np.array([0, 1, 2])\n",
@@ -450,9 +442,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.svm import SVC"
@@ -1084,7 +1074,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class07_Linear-Regression.ipynb b/class07_Linear-Regression.ipynb
@@ -230,9 +230,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import sklearn"
@@ -250,9 +248,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.linear_model import LinearRegression\n",
@@ -298,9 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.linear_model import Lasso\n",
@@ -460,8 +454,8 @@
     "# Predict the test values using the model\n",
     "predY = model.predict(testX)\n",
     "\n",
-    "print mae(testY, predY)\n",
-    "print rmse(testY, predY)"
+    "print(mae(testY, predY))\n",
+    "print(rmse(testY, predY))"
    ]
   },
   {
@@ -513,9 +507,16 @@
     "# Predict the test values using the model\n",
     "predY = model.predict(testX)\n",
     "\n",
-    "print mae(testY, predY)\n",
-    "print rmse(testY, predY)"
+    "print(mae(testY, predY))\n",
+    "print(rmse(testY, predY))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -534,7 +535,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class08_Logistic-Regression.ipynb b/class08_Logistic-Regression.ipynb
@@ -259,7 +259,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

diff --git a/class10_Cross-Validation.ipynb b/class10_Cross-Validation.ipynb
@@ -242,7 +242,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,