This problem is taken to learn exploratory data analysis and to compare different machine learning alogorithms/techniques. The problem was listed as a competition on kaggle.com.
Main.ipynb - ipython notebook containing code and results
train.csv - training data
test.csv - test data
predictions.csv - predictions of test data
id - id of the creature
bone_length - average length of bone in the creature, normalized between 0 and 1
rotting_flesh - percentage of rotting flesh in the creature
hair_length - average hair length, normalized between 0 and 1
has_soul - percentage of soul in the creature
color - dominant color of the creature: 'white','black','clear','blue','green','blood'
type - target variable: 'Ghost', 'Goblin', and 'Ghoul'