Getting Started With Python II - Titanic: Machine Learning from Disaster

To recap the last tutorial: we got comfortable with Python for re-implementing the models we originally imagined in Excel. By using a programming language, we were able to (1) use more powerful constructs and methods, like arrays to store and retrieve variables, and (2) to write scripted steps that can be repeated in the future without us performing the work by hand. However, you may be thinking that you found it easier to understand what's in the data back when you were using Excel. Well, in this third tutorial we will take a slight detour from our modeling work in order to bridge that gap. Python has another great package called Pandas, which makes data exploration and data cleaning much easier to do than manipulating arrays.