diff --git a/Data Science Workbook - Census Income Dataset.ipynb b/Data Science Workbook - Census Income Dataset.ipynb
index 6297fbc..5c46fd4 100644
--- a/Data Science Workbook - Census Income Dataset.ipynb	
+++ b/Data Science Workbook - Census Income Dataset.ipynb	
@@ -162,12 +162,16 @@
     "# Data Manipulation \n",
     "import numpy as np\n",
     "import pandas as pd\n",
+	"# For python3 users \n",
+	"from pandas.compat import StringIO\n",
+	"from pandas.compat import BytesIO\n",
+    "import subprocess\n",	
     "\n",
     "# Visualization \n",
     "import matplotlib.pyplot as plt\n",
     "import missingno\n",
     "import seaborn as sns\n",
-    "from pandas.tools.plotting import scatter_matrix\n",
+    "from pandas.plotting import scatter_matrix\n",
     "from mpl_toolkits.mplot3d import Axes3D\n",
     "\n",
     "# Feature Selection and Encoding\n",
@@ -313,7 +317,7 @@
     }
    ],
    "source": [
-    "conda_packages_list = StringIO.StringIO(subprocess.Popen([\"conda\", \"list\"], \n",
+    "conda_packages_list = BytesIO(subprocess.Popen([\"conda\", \"list\"], \n",
     "                                                         stdout=subprocess.PIPE).communicate()[0])\n",
     "conda_packages_list = pd.read_csv(conda_packages_list, \n",
     "                                  names=['Package Name','Version','Python Version','Repo','Other'], \n",
diff --git a/README.md b/README.md
index 7c2ef9d..0193deb 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 Data Science Notebook on a Classification Task
 
 ## Objective
-In the Jupyter Notebook included in this page, we will using the Census Income Dataset to predict whether an individual's income exceeds $50K/yr based on census data.
+In the Jupyter Notebook included in this page, we will be using the Census Income Dataset to predict whether an individual's income exceeds $50K/yr based on census data.
 
 The Dataset can be found here:
 - https://archive.ics.uci.edu/ml/datasets/adult
@@ -66,7 +66,7 @@ Go back to:
 
 
 ## Troubleshooting Docker
-Here's a few useful commands in case something goes wrong with your docker instance:
+Here are a few useful commands in case something goes wrong with your docker instance:
 
 ```shell
 # Restart Jupyter Docker Container