Titanic example – model building and training

The sinking of the ship, Titanic, is one of the most infamous events in history. This incident led to the deaths of 1,502 passengers and crew out of 2,224. In this problem, we will use data science to predict whether the passenger will survive this tragedy or not and then test the performance of our model based on the actual statistics of the tragedy.

To follow up with the Titanic example, you need to do the following:

1. Download this repository in a ZIP file by clicking on https://github.com/ahmed-menshawy/ML_Titanic/archive/master.zip or execute from the terminal:
2. Git clone: https://github.com/ahmed-menshawy/ML_Titanic.git
3. Install [virtualenv]: (http://virtualenv.readthedocs.org/en/latest/installation.html)
4. Navigate to the directory where you unzipped or cloned the repo and create a virtual environment with virtualenv ml_titanic
5. Activate the environment with source ml_titanic/bin/activate
6. Install the required dependencies with pip install -r requirements.txt
7. Execute the ipython notebook from the command line or terminal
8. Follow the example code in the chapter
9. When you're done, deactivate the virtual environment with deactivate