smartcab project desc

Author: adarsh0806

projects/smartcab/project_description.md

@@ -20,8 +20,8 @@ This project uses the following software and Python libraries:
 If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer. `pygame` can then be installed using one of the following commands:
 
 Mac:  `conda install -c https://conda.anaconda.org/quasiben pygame`  
-Windows: `conda install -c https://conda.anaconda.org/tlatorre pygame`  
-Linux:  `conda install -c https://conda.anaconda.org/prkrekel pygame`  
+Windows: `conda install -c https://conda.anaconda.org/prkrekel pygame`  
+Linux:  `conda install -c https://conda.anaconda.org/tlatorre pygame`  
 
 ## Fixing Common PyGame Problems
 

projects/titanic_survival_exploration/titanic_survival_exploration.ipynb

@@ -25,9 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Import libraries necessary for this project\n",
@@ -73,9 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Store the 'Survived' feature in a new variable and remove it from the dataset\n",
@@ -100,9 +96,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def accuracy_score(truth, pred):\n",
@@ -137,9 +131,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def predictions_0(data):\n",
@@ -170,9 +162,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print accuracy_score(outcomes, predictions)"
@@ -190,16 +180,14 @@
    "metadata": {},
    "source": [
     "***\n",
-    "Let's take a look at whether the feature **Sex** has any indication of survival rates among passengers using the `survival_stats` function. This function is defined in the `titanic_visualizations.py` Python script included with this project. The first two parameters passed to the function are the RMS Titanic data and passenger survival outcomes, respectively. The third parameter indicates which feature we want to plot survival statistics across.  \n",
+    "Let's take a look at whether the feature **Sex** has any indication of survival rates among passengers using the `survival_stats` function. This function is defined in the `visuals.py` Python script included with this project. The first two parameters passed to the function are the RMS Titanic data and passenger survival outcomes, respectively. The third parameter indicates which feature we want to plot survival statistics across.  \n",
     "Run the code cell below to plot the survival outcomes of passengers based on their sex."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "vs.survival_stats(data, outcomes, 'Sex')"
@@ -217,9 +205,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def predictions_1(data):\n",
@@ -252,9 +238,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print accuracy_score(outcomes, predictions)"
@@ -279,9 +263,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "vs.survival_stats(data, outcomes, 'Age', [\"Sex == 'male'\"])"
@@ -301,9 +283,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def predictions_2(data):\n",
@@ -337,9 +317,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print accuracy_score(outcomes, predictions)"
@@ -369,9 +347,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "vs.survival_stats(data, outcomes, 'Age', [\"Sex == 'male'\", \"Age < 18\"])"
@@ -389,9 +365,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def predictions_3(data):\n",
@@ -423,9 +397,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print accuracy_score(outcomes, predictions)"
@@ -472,23 +444,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.0"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }