Commit d74fd3eb authored by Harsh's avatar Harsh

added new files

parents
def collapse(L):
new_L = []
L = (list(map(lambda x: list(map(lambda y: new_L.append(y), x)), L)))
s = ' '.join(new_L)
return s
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from itertools import islice
def nList(L,n):
m=[]
z=len(L)
for i in range (0, n):
p=list(islice(L,i,z,n))
m.append(p)
return m
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def genPrime(N):
start = list(map(lambda x: x, list(range(2, N))))
multi = list(map(lambda x: list(filter(lambda y: y % x == 0 and y > x, start)), start))
new_multi = []
multi = (list(map(lambda x: list(map(lambda y: new_multi.append(y), x)), multi)))
new_multi = set(new_multi)
primes = list(filter(lambda x: x not in new_multi, start))
return primes
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def fib():
a, b = 0, 1
while True:
yield a
a, b = b, a + b
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from numpy import *
import csv
import math
from numpy.linalg import inv
def closedForm():
crim = []
zn = []
indus = []
chas = []
nox2 = []
rm2 = []
age = []
dis = []
lnrad = []
tax = []
ptr = []
b = []
lnstat = []
y = []
c = 0
with open("train.csv") as f:
csvReader = csv.reader(f)
for r in csvReader:
c = c+1
if c == 1:
continue
crim.append(float(r[1]))
zn.append(float(r[2]))
indus.append(float(r[3]))
chas.append(float(r[4]))
nox2.append(float(r[5])**2)
rm2.append(float(r[6])**2)
age.append(float(r[7]))
dis.append(float(r[8]))
lnrad.append(log(float(r[9])))
tax.append(float(r[10]))
ptr.append(float(r[11]))
b.append(float(r[12]))
lnstat.append(log(float(r[13])))
y.append(float(r[14]))
crim = array(crim)
zn = array(zn)
indus = array(indus)
chas = array(chas)
nox2 = array(nox2)
rm2 = array(rm2)
age = array(age)
dis = array(dis)
lnrad = array(lnrad)
tax = array(tax)
ptr = array(ptr)
b = array(b)
lnstat = array(lnstat)
y = array(y)
on = ones(400)
x = column_stack((on,crim,zn,indus,chas,nox2,rm2,age,dis,lnrad,tax,ptr,b,lnstat))
xtranspose = x.T
xxt = dot(xtranspose,x)
xxtinv = inv(xxt)
prod2 = dot(xxtinv,xtranspose)
finalprod = dot(prod2,y)
return finalprod
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harshcse
---------------------
Team HuffleClaw
---------------------
Roll no.s - 160050011, 160050012, 160010056
Contributions :-
160050011 - 1, 3
160050012 - 2, 4
160010056 - 5
Citations :-
1. https://docs.python.org/3/library/index.html
2. https://stackoverflow.com/questions/37418611/map-convert-a-nested-for-loop-to-map-equivalent
3. https://stackoverflow.com/a/14753067
4. https://pythonspot.com/en/reading-csv-files-in-python/
5. https://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.inv.html
6. https://stackoverflow.com/questions/20151141/how-to-get-length-of-a-list-of-lists-in-python
7. https://www.programiz.com/python-programming/anonymous-function
8. https://pymotw.com/2/itertools/
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ID,CRIM,ZN,INDUS,CHAS,NOX,RM,AGE,DIS,RAD,TAX,PTRATIO,B,LSTAT,MEDV
0,0.9557700000000001,0.0,8.14,0,0.538,6.047,88.8,4.4534,4,307.0,21.0,306.38,17.28,14.8
1,0.02875,28.0,15.04,0,0.464,6.211,28.9,3.6659,4,270.0,18.2,396.33,6.21,25.0
2,1.22358,0.0,19.58,0,0.605,6.943,97.4,1.8773,5,403.0,14.7,363.43,4.59,41.3
3,5.66637,0.0,18.1,0,0.74,6.219,100.0,2.0048,24,666.0,20.2,395.69,16.59,18.4
4,0.045439999999999994,0.0,3.24,0,0.46,6.144,32.2,5.8736,4,430.0,16.9,368.57,9.09,19.8
5,0.10659,80.0,1.91,0,0.413,5.936,19.5,10.5857,4,334.0,22.0,376.04,5.57,20.6
6,51.1358,0.0,18.1,0,0.597,5.757,100.0,1.413,24,666.0,20.2,2.6,10.11,15.0
7,3.32105,0.0,19.58,1,0.871,5.403,100.0,1.3216,5,403.0,14.7,396.9,26.82,13.4
8,1.05393,0.0,8.14,0,0.538,5.935,29.3,4.4986,4,307.0,21.0,386.85,6.58,23.1
9,0.24522,0.0,9.9,0,0.544,5.782,71.7,4.0317,4,304.0,18.4,396.9,15.94,19.8
10,0.57834,20.0,3.97,0,0.575,8.297,67.0,2.4216,5,264.0,13.0,384.54,7.44,50.0
11,0.03537,34.0,6.09,0,0.433,6.59,40.4,5.4917,7,329.0,16.1,395.75,9.5,22.0
12,3.8497,0.0,18.1,1,0.77,6.395,91.0,2.5052,24,666.0,20.2,391.34,13.27,21.7
13,38.3518,0.0,18.1,0,0.693,5.453,100.0,1.4896,24,666.0,20.2,396.9,30.59,5.0
14,0.35809,0.0,6.2,1,0.507,6.951,88.5,2.8617,8,307.0,17.4,391.7,9.71,26.7
15,15.8603,0.0,18.1,0,0.679,5.896,95.4,1.9096,24,666.0,20.2,7.68,24.39,8.3
16,6.44405,0.0,18.1,0,0.584,6.425,74.8,2.2004,24,666.0,20.2,97.95,12.03,16.1
17,5.82115,0.0,18.1,0,0.713,6.513,89.9,2.8016,24,666.0,20.2,393.82,10.29,20.2
18,0.035019999999999996,80.0,4.95,0,0.411,6.861,27.9,5.1167,4,245.0,19.2,396.9,3.33,28.5
19,12.0482,0.0,18.1,0,0.614,5.648,87.6,1.9512,24,666.0,20.2,291.55,14.1,20.8
20,0.06663999999999999,0.0,4.05,0,0.51,6.546,33.1,3.1323,5,296.0,16.6,390.96,5.33,29.4
21,0.537,0.0,6.2,0,0.504,5.981,68.1,3.6715,8,307.0,17.4,378.35,11.65,24.3
22,0.55778,0.0,21.89,0,0.624,6.335,98.2,2.1107,4,437.0,21.2,394.67,16.96,18.1
23,0.7904100000000001,0.0,9.9,0,0.544,6.122,52.8,2.6403,4,304.0,18.4,396.9,5.98,22.1
24,0.33045,0.0,6.2,0,0.507,6.086,61.5,3.6519,8,307.0,17.4,376.75,10.88,24.0
25,0.06588,0.0,2.46,0,0.488,7.765,83.3,2.741,3,193.0,17.8,395.56,7.56,39.8
26,0.77299,0.0,8.14,0,0.538,6.495,94.4,4.4547,4,307.0,21.0,387.94,12.8,18.4
27,0.053720000000000004,0.0,13.92,0,0.437,6.549,51.0,5.9604,4,289.0,16.0,392.85,7.39,27.1
28,0.08265,0.0,13.92,0,0.437,6.127,18.4,5.5027,4,289.0,16.0,396.9,8.58,23.9
29,0.16439,22.0,5.86,0,0.431,6.433,49.1,7.8265,7,330.0,19.1,374.71,9.52,24.5
30,3.6736699999999995,0.0,18.1,0,0.583,6.312,51.9,3.9917,24,666.0,20.2,388.62,10.58,21.2
31,0.34006,0.0,21.89,0,0.624,6.458,98.9,2.1185,4,437.0,21.2,395.04,12.6,19.2
32,0.09744,0.0,5.96,0,0.499,5.841,61.4,3.3779,5,279.0,19.2,377.56,11.41,20.0
33,0.06047,0.0,2.46,0,0.488,6.153,68.8,3.2797,3,193.0,17.8,387.11,13.15,29.6
34,5.69175,0.0,18.1,0,0.583,6.114,79.8,3.5459,24,666.0,20.2,392.68,14.98,19.1
35,24.3938,0.0,18.1,0,0.7,4.652,100.0,1.4672,24,666.0,20.2,396.9,28.28,10.5
36,0.14052,0.0,10.59,0,0.489,6.375,32.3,3.9454,4,277.0,18.6,385.81,9.38,28.1
37,0.05561,70.0,2.24,0,0.4,7.041,10.0,7.8278,5,358.0,14.8,371.58,4.74,29.0
38,0.12816,12.5,6.07,0,0.409,5.885,33.0,6.498,4,345.0,18.9,396.9,8.79,20.9
39,2.37857,0.0,18.1,0,0.583,5.871,41.9,3.724,24,666.0,20.2,370.73,13.34,20.6
40,0.06911,45.0,3.44,0,0.437,6.739,30.8,6.4798,5,398.0,15.2,389.71,4.69,30.5
41,0.21719000000000002,0.0,10.59,1,0.489,5.807,53.8,3.6526,4,277.0,18.6,390.94,16.03,22.4
42,0.5401100000000001,20.0,3.97,0,0.647,7.203,81.8,2.1121,5,264.0,13.0,392.8,9.59,33.8
43,0.22926999999999997,0.0,6.91,0,0.448,6.03,85.5,5.6894,3,233.0,17.9,392.74,18.8,16.6
44,0.05479,33.0,2.18,0,0.472,6.616,58.1,3.37,7,222.0,18.4,393.36,8.93,28.4
45,0.8520399999999999,0.0,8.14,0,0.538,5.965,89.2,4.0123,4,307.0,21.0,392.53,13.83,19.6
46,0.049319999999999996,33.0,2.18,0,0.472,6.849,70.3,3.1827,7,222.0,18.4,396.9,7.53,28.2
47,8.20058,0.0,18.1,0,0.713,5.936,80.3,2.7792,24,666.0,20.2,3.5,16.94,13.5
48,8.98296,0.0,18.1,1,0.77,6.212,97.4,2.1222,24,666.0,20.2,377.73,17.6,17.8
49,7.022589999999999,0.0,18.1,0,0.718,6.006,95.3,1.8746,24,666.0,20.2,319.98,15.7,14.2
50,13.6781,0.0,18.1,0,0.74,5.935,87.9,1.8206,24,666.0,20.2,68.95,34.02,8.4
51,2.4466799999999997,0.0,19.58,0,0.871,5.272,94.0,1.7364,5,403.0,14.7,88.63,16.14,13.1
52,1.12658,0.0,19.58,1,0.871,5.012,88.0,1.6102,5,403.0,14.7,343.28,12.12,15.3
53,0.062110000000000005,40.0,1.25,0,0.429,6.49,44.4,8.7921,1,335.0,19.7,396.9,5.98,22.9
54,4.8356699999999995,0.0,18.1,0,0.583,5.905,53.2,3.1523,24,666.0,20.2,388.22,11.45,20.6
55,0.25387,0.0,6.91,0,0.448,5.399,95.3,5.87,3,233.0,17.9,396.9,30.81,14.4
56,0.22969,0.0,10.59,0,0.489,6.326,52.5,4.3549,4,277.0,18.6,394.87,10.97,24.4
57,0.06262999999999999,0.0,11.93,0,0.573,6.593,69.1,2.4786,1,273.0,21.0,391.99,9.67,22.4
58,0.01439,60.0,2.93,0,0.401,6.604,18.8,6.2196,1,265.0,15.6,376.7,4.38,29.1
59,0.15098,0.0,10.01,0,0.547,6.021,82.6,2.7474,6,432.0,17.8,394.51,10.3,19.2
60,0.08014,0.0,5.96,0,0.499,5.85,41.5,3.9342,5,279.0,19.2,396.9,8.77,21.0
61,22.5971,0.0,18.1,0,0.7,5.0,89.5,1.5184,24,666.0,20.2,396.9,31.99,7.4
62,28.6558,0.0,18.1,0,0.597,5.155,100.0,1.5894,24,666.0,20.2,210.97,20.08,16.3
63,0.09378,12.5,7.87,0,0.524,5.889,39.0,5.4509,5,311.0,15.2,390.5,15.71,21.7
64,0.67191,0.0,8.14,0,0.538,5.813,90.3,4.682,4,307.0,21.0,376.88,14.81,16.6
65,0.3494,0.0,9.9,0,0.544,5.972,76.7,3.1025,4,304.0,18.4,396.24,9.97,20.3
66,0.22211999999999998,0.0,10.01,0,0.547,6.092,95.4,2.548,6,432.0,17.8,396.9,17.09,18.7
67,0.10574000000000001,0.0,27.74,0,0.609,5.983,98.8,1.8681,4,711.0,20.1,390.11,18.07,13.6
68,0.13262000000000002,0.0,8.56,0,0.52,5.851,96.7,2.1069,5,384.0,20.9,394.05,16.47,19.5
69,0.62356,0.0,6.2,1,0.507,6.879,77.7,3.2721,8,307.0,17.4,390.39,9.93,27.5
70,2.2423599999999997,0.0,19.58,0,0.605,5.854,91.8,2.422,5,403.0,14.7,395.11,11.64,22.7
71,0.015009999999999999,80.0,2.01,0,0.435,6.635,29.7,8.344,4,280.0,17.0,390.94,5.99,24.5
72,0.11747,12.5,7.87,0,0.524,6.009,82.9,6.2267,5,311.0,15.2,396.9,13.27,18.9
73,19.6091,0.0,18.1,0,0.671,7.313,97.9,1.3163,24,666.0,20.2,396.9,13.44,15.0
74,0.76162,20.0,3.97,0,0.647,5.56,62.8,1.9865,5,264.0,13.0,392.4,10.45,22.8
75,8.26725,0.0,18.1,1,0.668,5.875,89.6,1.1296,24,666.0,20.2,347.88,8.88,50.0
76,0.21409,22.0,5.86,0,0.431,6.438,8.9,7.3967,7,330.0,19.1,377.07,3.59,24.8
77,0.30346999999999996,0.0,7.38,0,0.493,6.312,28.9,5.4159,5,287.0,19.6,396.9,6.15,23.0
78,0.09164,0.0,10.81,0,0.413,6.065,7.8,5.2873,4,305.0,19.2,390.91,5.52,22.8
79,0.04527,0.0,11.93,0,0.573,6.12,76.7,2.2875,1,273.0,21.0,396.9,9.08,20.6
80,18.4982,0.0,18.1,0,0.668,4.138,100.0,1.137,24,666.0,20.2,396.9,37.97,13.8
81,0.82526,20.0,3.97,0,0.647,7.327,94.5,2.0788,5,264.0,13.0,393.42,11.25,31.0
82,0.03932,0.0,3.41,0,0.489,6.405,73.9,3.0921,2,270.0,17.8,393.55,8.2,22.0
83,0.05644,40.0,6.41,1,0.447,6.758,32.9,4.0776,4,254.0,17.6,396.9,3.53,32.4
84,0.19133,22.0,5.86,0,0.431,5.605,70.2,7.9549,7,330.0,19.1,389.13,18.46,18.5
85,0.57529,0.0,6.2,0,0.507,8.337,73.3,3.8384,8,307.0,17.4,385.91,2.47,41.7
86,0.7857,20.0,3.97,0,0.647,7.014,84.6,2.1329,5,264.0,13.0,384.07,14.79,30.7
87,0.01709,90.0,2.02,0,0.41,6.728,36.1,12.1265,5,187.0,17.0,384.46,4.5,30.1
88,25.9406,0.0,18.1,0,0.679,5.304,89.1,1.6475,24,666.0,20.2,127.36,26.64,10.4
89,20.0849,0.0,18.1,0,0.7,4.368,91.2,1.4395,24,666.0,20.2,285.83,30.63,8.8
90,0.0187,85.0,4.15,0,0.429,6.516,27.7,8.5353,4,351.0,17.9,392.43,6.36,23.1
91,0.02985,0.0,2.18,0,0.458,6.43,58.7,6.0622,3,222.0,18.7,394.12,5.21,28.7
92,0.5341199999999999,20.0,3.97,0,0.647,7.52,89.4,2.1398,5,264.0,13.0,388.37,7.26,43.1
93,0.04462,25.0,4.86,0,0.426,6.619,70.4,5.4007,4,281.0,19.0,395.63,7.22,23.9
94,0.19539,0.0,10.81,0,0.413,6.245,6.2,5.2873,4,305.0,19.2,377.17,7.54,23.4
95,1.15172,0.0,8.14,0,0.538,5.701,95.0,3.7872,4,307.0,21.0,358.77,18.35,13.1
96,0.02055,85.0,0.74,0,0.41,6.383,35.7,9.1876,2,313.0,17.3,396.9,5.77,24.7
97,2.63548,0.0,9.9,0,0.544,4.973,37.8,2.5194,4,304.0,18.4,350.45,12.64,16.1
98,0.41238,0.0,6.2,0,0.504,7.163,79.9,3.2157,8,307.0,17.4,372.08,6.36,31.6
99,0.08826,0.0,10.81,0,0.413,6.417,6.6,5.2873,4,305.0,19.2,383.73,6.72,24.2
100,0.05735,0.0,4.49,0,0.449,6.63,56.1,4.4377,3,247.0,18.5,392.3,6.53,26.6
101,0.027630000000000002,75.0,2.95,0,0.428,6.595,21.8,5.4011,3,252.0,18.3,395.63,4.32,30.8
102,0.18836,0.0,6.91,0,0.448,5.786,33.3,5.1004,3,233.0,17.9,396.9,14.15,20.0
103,0.20608,22.0,5.86,0,0.431,5.593,76.5,7.9549,7,330.0,19.1,372.49,12.5,17.6
104,0.03659,25.0,4.86,0,0.426,6.302,32.2,5.4007,4,281.0,19.0,396.9,6.72,24.8
105,0.6147,0.0,6.2,0,0.507,6.618,80.8,3.2721,8,307.0,17.4,396.9,7.6,30.1
106,0.22188000000000002,20.0,6.96,1,0.464,7.691,51.8,4.3665,3,223.0,18.6,390.77,6.58,35.2
107,88.9762,0.0,18.1,0,0.671,6.968,91.9,1.4165,24,666.0,20.2,396.9,17.21,10.4
108,24.8017,0.0,18.1,0,0.693,5.349,96.0,1.7028,24,666.0,20.2,396.9,19.77,8.3
109,0.08447,0.0,4.05,0,0.51,5.859,68.7,2.7019,5,296.0,16.6,393.23,9.64,22.6
110,8.15174,0.0,18.1,0,0.7,5.39,98.9,1.7281,24,666.0,20.2,396.9,20.85,11.5
111,0.07013,0.0,13.89,0,0.55,6.642,85.1,3.4211,5,276.0,16.4,392.78,9.69,28.7
112,0.07503,33.0,2.18,0,0.472,7.42,71.9,3.0992,7,222.0,18.4,396.9,6.47,33.4
113,0.31533,0.0,6.2,0,0.504,8.266,78.3,2.8944,8,307.0,17.4,385.05,4.14,44.8
114,0.55007,20.0,3.97,0,0.647,7.206,91.6,1.9301,5,264.0,13.0,387.89,8.1,36.5
115,0.03584,80.0,3.37,0,0.398,6.29,17.8,6.6115,4,337.0,16.1,396.9,4.67,23.5
116,15.288,0.0,18.1,0,0.671,6.649,93.3,1.3449,24,666.0,20.2,363.02,23.24,13.9
117,0.01778,95.0,1.47,0,0.403,7.135,13.9,7.6534,3,402.0,17.0,384.3,4.45,32.9
118,2.7797400000000003,0.0,19.58,0,0.871,4.903,97.8,1.3459,5,403.0,14.7,396.9,29.29,11.8
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397,6.65492,0.0,18.1,0,0.713,6.317,83.0,2.7344,24,666.0,20.2,396.9,13.99,19.5
398,0.13117,0.0,8.56,0,0.52,6.127,85.2,2.1224,5,384.0,20.9,387.69,14.09,20.4
399,0.06466000000000001,70.0,2.24,0,0.4,6.345,20.1,7.8278,5,358.0,14.8,368.24,4.97,22.5
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