import sklearn from sklearn.neighbors import KNeighborsRegressor knn = KNeighborsRegressor(5) knn_3 = KNeighborsRegressor(3) len(knn_data_points) .70*len(knn_data_points) .30*len(knn_data_points) import random trainingPoints = [random.choice(knn_data_points) for i in xrange(966880)]
Modelling Techniques
Q, M, V
Mathmatical Models, Natural, Social Economic Sciences, Differential/Integral Equations, Algebra Other advance Math, Generalized knowledge of system
Statistical Machine Learning, Industry, Business General Applications,
Statistics Machine Learning Linear Algebra Information Theory
Combination, Science, business engineering optimization
The Medicare Challenge: The Data
Inpatient Charges 2012
Look for files with: “IL” and “CA” in the instructor’s notes
pylab inline from IPython.display import HTML matplotlib inline import os import sys from StringIO import StringIO import scipy import seaborn as sns from pandas import read_csv import matplotlib.pyplot as pyplot cwd = os.getcwd()
