Merge pull request udacity#33 from rigved/master

Fixed grammar and emphasized the use of one iPython command

Author: jared-weed

projects/titanic_survival_exploration/README.md

@@ -12,20 +12,25 @@ This project requires **Python 2.7** and the following Python libraries installe
 
 You will also need to have software installed to run and execute an [iPython Notebook](http://ipython.org/notebook.html)
 
-Udacity recommends our students install [Anaconda](https://www.continuum.io/downloads), i pre-packaged Python distribution that contains all of the necessary libraries and software for this project. 
+Udacity recommends our students install [Anaconda](https://www.continuum.io/downloads), a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.
 
 ### Code
 
 Template code is provided in the notebook `titanic_survival_exploration.ipynb` notebook file. Additional supporting code can be found in `titanic_visualizations.py`. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project.
 
 ### Run
 
-In a terminal or command window, navigate to the top-level project directory `titanic_survival_exploration/` (that contains this README) and run one of the following commands:
+In a terminal or command window, navigate to the top-level project directory `titanic_survival_exploration/` (that contains this README) and run **one** of the following commands:
 
-```ipython notebook titanic_survival_exploration.ipynb```
-```jupyter notebook titanic_survival_exploration.ipynb```
+```bash
+jupyter notebook titanic_survival_exploration.ipynb
+```
+or
+```bash
+ipython notebook titanic_survival_exploration.ipynb
+```
 
-This will open the iPython Notebook software and project file in your browser.
+This will open the iPython Notebook software and project file in your web browser.
 
 ## Data
 
@@ -41,4 +46,4 @@ The dataset used in this project is included as `titanic_data.csv`. This dataset
 - `ticket` ? Ticket Number
 - `fare` ? Passenger Fare
 - `cabin` ? Cabin
-- `embarked` ? Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)
+- `embarked` ? Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)