leonaburime

import random, pdb
from pprint import pprint

import pandas as pd, numpy as np
import sklearn
from sklearn.cluster import KMeans


labels = {0 : 'apple', 1 : 'banana'}
input = [

leonaburime

from __future__ import division
from pprint import pprint
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier

#References - http://saravananthirumuruganathan.wordpress.com/2010/05/17/a-detailed-introduction-to-k-nearest-neighbor-knn-algorithm/

#http://www.saedsayad.com/k_nearest_neighbors.htm
input  = [

leonaburime

import numpy as np
import dataMunge, pdb
from sklearn import linear_model

input = [
	[95, 85],
	[85, 95],
	[80, 70],
	[70, 65],
	[60, 70]