Machine learning combat Python3 K nearest neighbor (KNN) algorithm implementation

Taiwan Big machine skill and cornerstone are finished, but no programming has been, now intends to combine Zhou Zhihua "machine learning", the machine to learn the actual combat, the original book is Python2, but I feel python3 better use some, so plan to use Python3 write it again. Python3 and Python2 different places will be in the program in the bid.

Code and data: HTTPS://GITHUB.COM/ZLE1992/MACHINELEARNINGINACTION/TREE/MASTER/CH2

K-Nearest Neighbor algorithm
Advantages: High precision, insensitive to outliers, no data input assumptions.
Disadvantages: High computational complexity and high spatial complexity.
Applicable data range: Numerical and nominal type.

Machine learning combat Python3 K nearest neighbor (KNN) algorithm implementation