In [3]:

    

import numpy as np


    

In [4]:

    

x=np.genfromtxt('C:\\Users\\Admin\\Downloads\\train_data.csv',delimiter=',',dtype=float)


    

In [5]:

    

x=np.delete(x,0,0)


    

In [6]:

    

y=x[:,4]


    

In [7]:

    

x=np.delete(x,4,1)
x=np.insert(x,0,1,axis=1)


    

In [8]:

    

t=np.dot(np.linalg.pinv(np.dot(np.transpose(x),x)),np.transpose(x),)


    

In [9]:

    

T=np.dot(t,y)


    

In [10]:

    

print T


    

    




[ 1.66824986  0.71837337  3.12743084  0.42506237  1.2152172 ]

In [11]:

    

a=np.genfromtxt('C:\\Users\\Admin\\Downloads\\test_input.csv',delimiter=',',dtype=float)


    

In [12]:

    

a=np.delete(a,0,0)
a=np.insert(a,0,1,axis=1)


    

In [13]:

    

output=np.dot(a,T)


    

In [14]:

    

print output


    

    




[ 3.31498528  5.87658328  5.02224661  6.2932576   6.16237451  4.57690989
  6.24863902  4.26387364  2.99450781  3.95151383  4.72510639  5.23181676
  4.74309125  5.60377019  3.87350668  5.69381539  3.24284863  6.12640529
  6.26386762  3.33960818  4.53534819  4.3900155   5.31416061  5.20330632
  3.00609464  4.89242042  5.2699208   5.02511314  2.64666871  5.12820951
  5.27623116  6.11490239  4.72264555  6.03008009  5.99675583  4.60813235
  5.14592651  3.55465433  3.55671684  5.74704329  5.93366987  3.40549325
  4.90453343  6.05682175  4.09401931  6.09221509  3.49072919  4.59400856
  3.70131438  5.2334423   5.62853115  5.67626599  4.80006167  4.70863576
  5.30914692  5.01977707  5.67022895  4.94513404  4.06941732  5.54961013]

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