diff --git a/Applied Data Science Capstone/Assignment 2 - Segmenting and Clustering Neighborhoods in Toronto - Part 1.ipynb b/Applied Data Science Capstone/Assignment 2 - Segmenting and Clustering Neighborhoods in Toronto - Part 1.ipynb
index b83d706..4190953 100644
--- a/Applied Data Science Capstone/Assignment 2 - Segmenting and Clustering Neighborhoods in Toronto - Part 1.ipynb	
+++ b/Applied Data Science Capstone/Assignment 2 - Segmenting and Clustering Neighborhoods in Toronto - Part 1.ipynb	
@@ -4,26 +4,20 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Applied Data Science Capstone Assignment 2 :Segmenting and Clustering Neighborhoods in Toronto - Part 1\n"
+ 
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### For this assignment, you will be required to explore and cluster the neighborhoods in Toronto.\n",
-    "\n",
-    "1. Start by creating a new Notebook for this assignment.\n",
-    "2. Use the Notebook to build the code to scrape the following Wikipedia page, https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M, in order to obtain the data that is in the table of postal codes and to transform the data into a pandas dataframe like the one shown below:\n",
-    "\n",
-    "![alt text](https://d3c33hcgiwev3.cloudfront.net/imageAssetProxy.v1/7JXaz3NNEeiMwApe4i-fLg_40e690ae0e927abda2d4bde7d94ed133_Screen-Shot-2018-06-18-at-7.17.57-PM.png?expiry=1555718400000&hmac=hY_G211KTmDqSbQCViiORKXZxJe2iUqeTTbg1hVMtY0)\n"
-   ]
+  
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Link for scrapping a table from a website: https://towardsdatascience.com/web-scraping-html-tables-with-python-c9baba21059"
+    "
    ]
   },
   {
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