Supervised Learning

We will practice supervised learning with an example competition from Kaggle. The Titanic survival prediction is a getting started competition on Kaggle.

Preparation

Download the train.csv and test.csv from Kaggle. Put the two files under current directory with those IPython Notebooks.

IPython Notebooks

• Preparation and Basic Statistics: online viwer, source
• Supervised Learning: online viwer, source

Outcome of This Tutorial

• Have a feel of what a data mining competition looks like in real life. Participating in those competitions is a good way to sharpen your skills and learn new things in the future.
• Build up the concept of supervised learning. Can recognize and transform real world problems into classification or regression format.

Outcome of Whole Tutorial Series and Homeworks

• Get to know state-of-the-art systems, platforms and workflows.
• Not afraid of self-learning any new algorithms and tools for data mining.