From 2ad2b3071c6bdd3274da12042cc7539e53c66089 Mon Sep 17 00:00:00 2001
From: Jas-simran <simranbright42@gmail.com>
Date: Sat, 12 Jan 2019 06:28:05 +0000
Subject: [PATCH 1/2] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 164 -> 153 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 178 -> 167 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 650 -> 604 bytes
 q01_load_data/build.py                        |  13 +++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 184 -> 173 bytes
 .../test_q01_load_data.cpython-36.pyc         | Bin 3979 -> 3968 bytes
 6 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index ebbd53a2d5f8e74c1825d49e211ea6c89bbb6b24..0a1fb5cbb557ddf518c6afc5a49781bc976890d2 100644
GIT binary patch
delta 52
zcmZ3&IFpgXn3tF9c86umL=JNWH~ozK+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCI<vsxlFV

delta 63
zcmbQqxP+0zn3tD})qh^pL=JQ9K>dvT+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@m2t4&J|_=

diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
index 745b53348946deede87a913551b2a987b3c0f568..6168cff442350bfff802e26a9ef179d7adeaf9f5 100644
GIT binary patch
delta 52
zcmdnQxSWy0n3tF9c86umL=JO>5dDn&+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCG>1vAz+$

delta 63
zcmZ3^xQUU&n3tD})qh^pL=JQ9c>Rq0+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@g4whC>5Rn

diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
index 108e4a3757fe954026411d74f9a8c0f07f6551f0..f4c6e058ee54428c134eeea14bc2938d1a510eed 100644
GIT binary patch
delta 267
zcmeBTy~E;V%*)Glr^7O4D<cELV+JI^3}ib1aj_DRNMT4}%wdRP1ky}7Ou5Wa%!~{v
z>?y1%Y%PpYEGdk^44NDh{iG)LbTLLv7H5=WWS?xts3sQ0R+3s=5?>s}6O@>jlAjx2
zT#{IlIysF|UsV`r>aRfkjQreGeXqn~-QvvLqQpG?@cg3e;)2BFRQ=@ql+?*b8Ep+X
zK#t%75)6!7jAD#Jj1r7RqClP|QxV9GMJymT>n*kdpcRS5MI4ijn3VKE3W`8>AQ2)!
Y?kx_R-29Z%oK!oI-eQnm4n`gp0C0LZLjV8(

delta 313
zcmYjMJxc>Y5Z$@2TrP=4&>$8fK>}&qfM8|B!YYLbc83tw+r^yh=8oOHK&-9O9oOg2
z_%9ASe}KJ}vt0(}&3nxEcd!c|uLpx9c-p65K*$d{Fdz9nx|tww!a<T0FnZEce(D3^
zej4zYN4)b1X~^N3OuO~s?DAvGnPqfUR7NaIooB)<RV8h{VLE44TxDic^BuJH?>WTH
z5lj*t;SSwFXcj<c$4LHOaDoz)y{>ZlP-K-7YisD67F%WuMVXWrr7qq@W=*q)`K*Uc
zCP5&OzzBwL3VMWU>S_0i4jhl#sAOx-jP5o)Z+z2t8CRv<&I33>*~Yi3;FT129xCH*
JjG^xb;Xi<MMQs28

diff --git a/q01_load_data/build.py b/q01_load_data/build.py
index e4cd8e3..8619b56 100644
--- a/q01_load_data/build.py
+++ b/q01_load_data/build.py
@@ -1,10 +1,19 @@
+# %load q01_load_data/build.py
 # Default imports
 import pandas as pd
 from sklearn.model_selection import train_test_split
 
 
-path = 'data/house_prices_multivariate.csv'
+# Write your solution here
+def load_data(path, test_s=0.33, Random_state = 9):
+    df = pd.read_csv(path)
+    X = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = test_s, random_state= Random_state)
+    return df, X_train, X_test, y_train, y_test
+
+
+
 
 
-# Write your solution here
 
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
index 133357e0803cc77a9fa179800aad36162ab7db97..1c5fe15f1ce1e0ec0bb185405b9c13a371dba7d8 100644
GIT binary patch
delta 52
zcmdnNxR#N_n3tF9UWaAOL=JO>DE*B5+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCKOCwR;iS

delta 63
zcmZ3>xPy_yn3tD})qh^pL=JQ9RQ-(n+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@qPewDiyW>

diff --git a/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc b/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc
index 689755b50e9d543263dd64c6c6fa30cc162289d0..e14b3b96fffe34ca96669ca0ec62ab7616588234 100644
GIT binary patch
delta 54
zcmeB{Z;<CO=H=zO*I^m6k>f0*LW+Jyer~G1S7Nblab|8&VxE3@eo=ODL1J>MesX?F
J>L#XcUI60H5`O>y

delta 66
zcmZpW@0RB<=H=!3=|3-OBga`r?R@=={M=Oi#H5T&eV6>?(%jU%l4AYzqSVU7lKfo#
V#GD+3f};Ga)Z~)l&0iV2c>(*y7*GHJ


From 6c9b3d3f123d3f88da0789705b3cc99a65f96892 Mon Sep 17 00:00:00 2001
From: Jas-simran <simranbright42@gmail.com>
Date: Sat, 12 Jan 2019 10:36:19 +0000
Subject: [PATCH 2/2] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 190 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 636 -> 806 bytes
 q02_Max_important_feature/build.py            |  14 ++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 196 -> 185 bytes
 ...st_q02max_important_feature.cpython-36.pyc | Bin 1735 -> 1724 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 179 -> 168 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 892 -> 1214 bytes
 q03_polynomial/build.py                       |  20 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 185 -> 174 bytes
 .../test_q03_polynomial.cpython-36.pyc        | Bin 1393 -> 1382 bytes
 10 files changed, 34 insertions(+)

diff --git a/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc
index 93c9119e93bd10425c9a680002a7f8007ca6fad4..44f63ae4cdabc9a7e3c649010298159bf7b158f0 100644
GIT binary patch
delta 52
zcmdnTxS5f|n3tF9c86umL=JO>1pSQs+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCG~4xHb{)

delta 63
zcmdnYxQ~&;n3tD})qh^pL=JQ9Z2gS<+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@gV?sEEUcG

diff --git a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc
index 2b7cfd439c8bcd90f292188cc9dda691033659ba..94863cbb1a6e7f9642ab1a43375f8559da0d6245 100644
GIT binary patch
literal 806
zcmZ`%yN(kv6t(A-nJ_CsV0WPbi7o{*3sfKkNOVZ71QbN0Aj>;;SnqlsYdaBHO{yg&
zA3@0<(DD&bxTQc5e?SA*S%Ff3rF+J6#yURt%)Ps{)&KhW-uQ!u&^NTPLfAis(heA6
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zQB>5#aBYZgr7*xHvZ0JHYUt@rhxuVM)tt0Slw6Z)Dvg*?C8*(9sb}ABEPp)zbp6Yt
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zW5uCEFmD4Pn^HmA5Q+_2Y7UF&T%|}~Y)Dv-O)MT+Jh#0OS%+pL*g$T!H~&Mx28fSH
zZG+&?*AQIA^QTnb(xL)G`Kv}9>z0;0FB`^l%4W1KIU`ckoGPOD8^yI2O`V_Y-67BD
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zj%wvj+FgAt;r=?Sz?CGLOI{jqvChTb2UBxuno5d;?EjXtlfB#I@8o1_o61dtjolD|
ps!^AmgMov~4z4(G=GJ*_zz%RWegJl+l0S4JItGYwic^0O{04Ss=Rp7f

delta 437
zcmYjMO-sW-5Z#ZYO>Aqyi`0{PG9X0pCMtsBu?ju82xXgH+k||`CKZK<VD;!hau-Ap
z{0IJ)y?W|j5D(7QO9$r7&YPJxJ0G=Q>wKrxTCh)F*%wCW8_k&w??do>6F?w=W0YWq
zF_Ku23BIryVU$_SW;NjmThtygtBZOMdF~V@(96U2y>@#%mS-vq<kSK#pr!(565~hU
z`369VA~ZoI?w~tb(g+J!@{9#7iJ;5qiF8mzA`0SG_r$~6<#`}e5vIc_{2N$p1({O1
zk!PytU-Nh@b8TOSsgO6i_MbzOBY464xhz<_;A$vMs|xubmKvvwg2X3MEfD+}`J*h6
zJ|B!i|2PZAiA;;!A1Zmvi!AYZ9IsxfERq4R)f-u<9J0ISnrqBi2sg26L+pA)nVXei
oJ*TS3zDrEr0I1&a`qr#%wsQ^^p{kv|BopIU9+-idY?Cfoe=VYAbN~PV

diff --git a/q02_Max_important_feature/build.py b/q02_Max_important_feature/build.py
index 51fbde6..ca534dc 100644
--- a/q02_Max_important_feature/build.py
+++ b/q02_Max_important_feature/build.py
@@ -1,4 +1,7 @@
+# %load q02_Max_important_feature/build.py
 # Default imports
+import pandas as pd
+from sklearn.model_selection import train_test_split
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 
 # We have already loaded the data for you
@@ -6,3 +9,14 @@
 
 
 # Write your code here
+def Max_important_feature(path, test_s=0.33, Random_state = 4):
+    df = pd.read_csv(path)
+    X = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = test_s, random_state= Random_state)
+    return df, X_train, X_test, y_train, y_test
+
+
+
+
+
diff --git a/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc
index cec58d46190aacd7d84dfc496a3158043f55733c..9f70d68e4d1658eca62b4c45cba76f5229c42519 100644
GIT binary patch
delta 52
zcmX@YxRa5?n3tF9c86umL=JO>H2sYH+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCIwqyK)i+

delta 63
zcmdnVc!ZI|n3tD})qh^pL=JQ9Lj8>V+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@lgPLE*0hg

diff --git a/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc b/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc
index cb6849b54439a4d751068cfac5c5797820818bc7..7f1485798160a39c058be0a9cb97bd74924ed901 100644
GIT binary patch
delta 55
zcmX@kyN8#<n3tF9c86umMvg;_3f1}<`MIh3UWvuJ#hJN9iFx|r`9;~q1&PV2`pNkz
LshhttUSa_N3=0$w

delta 66
zcmdnPdz_cUn3tF9r~kaDjU0y<wcGSF@^e%56O%GB^<DClOLJ56N{aQ<i&85SOY(E|
W6LWGD3X1ZxQj<%HH@{-M!~y^l#2DiM

diff --git a/q03_polynomial/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/__pycache__/__init__.cpython-36.pyc
index aa42922819662c41fcd07685edf2a72bf7ac881e..0997a5a88fef8e1872f54f26868a001f44ebc718 100644
GIT binary patch
delta 52
zcmdnYxPp<xn3tF9c86umL=JO>Q2mVj+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCLZivPcoa

delta 63
zcmZ3%xS5f|n3tD})qh^pL=JQ91pSQs+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@ty#1(-oos

diff --git a/q03_polynomial/__pycache__/build.cpython-36.pyc b/q03_polynomial/__pycache__/build.cpython-36.pyc
index 3be41d0c14271187dca6351ed83186fc0c5c4807..c09b9b31434ed2e83e80f34d836d0510857c4523 100644
GIT binary patch
literal 1214
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zIU?4PgWl>R{0C3Iq543+i{?1Ai6gtv+>oGblp+CBO-qKlQKmSga?Z64Ma}qo<-%G2
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kH3zQXp7V3?EBI`39|FxKf8cWK$;#02o1o0!3I^l<0f+Kbu>b%7

delta 536
zcmYjOL2J}N6rRasvPm|n#e<+Hu?5K~hYCUwv9z=otrb1gK?&2H={6<VEH9JFLY5xZ
zYbncKJbCx#FX#`+)uaEQc<{}xLT8wd?|U=foA+jJf<NBIRvd?$AHR#=4k5qDoxzd6
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diff --git a/q03_polynomial/build.py b/q03_polynomial/build.py
index 26d8971..9d5e39c 100644
--- a/q03_polynomial/build.py
+++ b/q03_polynomial/build.py
@@ -1,11 +1,31 @@
+# %load q03_polynomial/build.py
 # Default imports
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 from sklearn.preprocessing import PolynomialFeatures
 from sklearn.pipeline import make_pipeline
 from sklearn.linear_model import LinearRegression
+import numpy as np
+from sklearn.model_selection import train_test_split
 
 # We have already loaded the data for you
 data_set, X_train, X_test, y_train, y_test = load_data('data/house_prices_multivariate.csv')
 
 
 # Write your solution here
+def polynomial(power=5,Random_state=9):
+    linear_pipe = make_pipeline(PolynomialFeatures(degree=power,include_bias=False), LinearRegression())
+
+    cols = data_set.corr()['SalePrice'].drop('SalePrice').sort_values(ascending = False)[0:4].index
+    X = data_set[cols]
+#     print(X.shape)
+    y = data_set['SalePrice']
+    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=9, test_size = 0.33)
+
+    linear_pipe.fit(X_train,y_train)
+    print(linear_pipe.predict(np.array([4, 5, 6, 7]).reshape(1,-1)))
+    return linear_pipe
+
+
+polynomial(power=5,Random_state=9)
+
+
diff --git a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc
index 6e2087691199f0bc7e5f879b594cb46948bbd2d5..412cf74f2386026ff1f52d52bff57caf5637db90 100644
GIT binary patch
delta 52
zcmdnVxQ>y-n3tF9c86umL=JO>X#I@*+*Ez9#A4mz%-o{HJpJ(eqU_>=#N<@{<ouM>
HiCO*twS*Dc

delta 63
zcmZ3-xRa5?n3tD})qh^pL=JQ9H2sYH+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv@%{jG)fKt`

diff --git a/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc b/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc
index ef8c88bb710c2ba80eef81cfc118a62a6706b5b4..a85eea900c1b8bb4f59bccfc3ddac3ef348ec141 100644
GIT binary patch
delta 67
zcmey!^^A+tn3tF9c86t*!A8zWj0$P`8Tq-X`d*2}y2Y8fMTvR(;rT_`#RZAUsrt$J
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delta 78
zcmaFH^^uFyn3tC;Gh$wp-bT(zjM|0z8Tq-X`iV&ynffmI$)&lec_qdA=|!oPi6!~D
i`iVI?3I#>^S*gh-#hZ6CN-?p{nmKc(<>p(=J&XV<VjOG$