From 9a697af19566cf4a1a360872efd25db7396e867a Mon Sep 17 00:00:00 2001
From: iampa1 <iampa1gehaney@gmail.com>
Date: Thu, 17 Jan 2019 06:32:21 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 164 -> 149 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 178 -> 163 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 650 -> 620 bytes
 q01_load_data/build.py                        |  11 +++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 184 -> 169 bytes
 .../test_q01_load_data.cpython-36.pyc         | Bin 3979 -> 3964 bytes
 6 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index ebbd53a2d5f8e74c1825d49e211ea6c89bbb6b24..1e8e4ff9dd18174160740af1b9d19053c0794a67 100644
GIT binary patch
delta 48
zcmZ3&IF*sZn3tC;O~D~%B8Rz*lYT~iZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4IZS
DL@y5r

delta 63
zcmbQrxP+0zn3tD})qh^pL=JQ9K>dvT+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(N+Lu$`xJ!

diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
index 745b53348946deede87a913551b2a987b3c0f568..a37d8a6fe438779205fe51156d673f7d8ec73986 100644
GIT binary patch
delta 48
zcmdnQxR{Z{n3tC;O~D~%B8Rz5fPO}PZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4Ha0
DOA`-3

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

diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
index 108e4a3757fe954026411d74f9a8c0f07f6551f0..de786d8a14308825b4224507162df8eea39c02ee 100644
GIT binary patch
delta 359
zcmYk1%}N6?6oqs1Go2~zN_~KeE(U}_1y@yst`)HhK?)^IQaZKcgd~bc1{dyxE~Go(
z$E7cjHxPURS0=h~anC*B-t#4SVP7;m?DxBi!Rh4VHG6wX5kg6*Q7AJEV$lK|dWM!*
z?8t%$5Ll2^^wfdFg0AR<wzOq!(smqi)G?R1&Ww#w&dz-{=1X~@t5SYKz~$g6f2d53
zeP*SxQ&T-k-_!h7H1*VsEVnXe9xLHfExDMM=3e6v^i=3ZX%-o&r;6LTj*q?WUH)aq
zG3v3HtrhGJHp1xpte7{oEGk|rzF%B5`o<_;%A#z9T))HdUIdu<T?Ad&0lgJmjx`BQ
s)94eQsDS52ch?7a`=}o$aZASw{>f%I`gB+~;%+HVBH)*sLJuhU0Yy_-kpKVy

delta 380
zcmYjN!Ab)$5X~gn?e5xMq!xP<!9!155Im_+^elpxB89SUQroiIU6NF&Wbq)q2p(i_
z9{d46!@tNM6#N1&ns{npUS{6Q%slc<U%c?R)r#o#$L-f!`2G|jgnSzpHssKPLUYjQ
z87iX595ckw+96rv3GSkbZn5;A@f6Widm1!m_?3=m<yVa=s6tJ&uNykh;l#T^J@0A*
zc76|=P;sfoa`wng-G$a*^J|X?oJb8WnF$0>*f^CBhR(7g71&9Up=F|`!nqX<3kI`^
zfuVs_&Ecruw$#rko)$Tele_6GzAVyZ&KF9?_kynyRpfD!We24w<~&uh{)Dssj%||e
z4-iDqfnC@K(Xmwz3t}%pUG5vdOcpGWBCOl^@TBP!_e!{(Td-$K6P)G+TW0*+xt7jt
I08K)@Kgm2>;Q#;t

diff --git a/q01_load_data/build.py b/q01_load_data/build.py
index e4cd8e3..8f79288 100644
--- a/q01_load_data/build.py
+++ b/q01_load_data/build.py
@@ -1,10 +1,13 @@
+# %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'
-
+path='data/house_prices_multivariate.csv'
 
 # Write your solution here
+def load_data(path,test_size=0.33,Random_State=9):
+    df=pd.read_csv(path)
+    X_train, X_test, y_train, y_test = train_test_split(df.drop('SalePrice',axis=1), df.SalePrice, test_size=test_size, random_state=Random_State)
+    return df,X_train,X_test,y_train,y_test
+
 
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
index 133357e0803cc77a9fa179800aad36162ab7db97..6941522f771d6c411f01430aa1786c505ac605f9 100644
GIT binary patch
delta 48
zcmdnNxRQ~>n3tC;L%|_tB8Rz5n0`inZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4JAm
DPE`+D

delta 63
zcmZ3<xPy_yn3tD})qh^pL=JQ9RQ-(n+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(S87PCKav#

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..b9bc7dce490b7aaa9aeed4561285ec1f2c285d0c 100644
GIT binary patch
delta 50
zcmeB{|0Bm?%*)G_q2Lg+k>f0*OoDz!er~FMW@2tZqM?3xeo=ODL1J>MesX?F>L#Xc
FUI2}h5Ptvw

delta 66
zcmew(*DcRs%*)I5(|=ynMvk+L+WGn!`MIh3iAfom`Y!p&rManjCB^#bMX8mECHcAf
Wi8(n61x5K;smUe9n?Evk^8x@Hdl<(6


From 7558aa86ee2398a9814bdeba89fe953805ac06d3 Mon Sep 17 00:00:00 2001
From: iampa1 <iampa1gehaney@gmail.com>
Date: Wed, 23 Jan 2019 05:43:49 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 190 -> 175 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 636 -> 646 bytes
 q02_Max_important_feature/build.py            |  13 +++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 196 -> 181 bytes
 ...st_q02max_important_feature.cpython-36.pyc | Bin 1735 -> 1720 bytes
 5 files changed, 13 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..34bfc87568ebb2a7a0675b2b5da2275f0c78806f 100644
GIT binary patch
delta 48
zcmdnTxSo;2n3tC;O~D~%B8Rz5jDALbZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#H<hi
DQ2P&X

delta 63
zcmZ3_xQ~&;n3tD})qh^pL=JQ9Z2gS<+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(IEhLC>6#4

diff --git a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc
index 2b7cfd439c8bcd90f292188cc9dda691033659ba..bfba9f2fcb5e915bae501db34af2abb4ab456e39 100644
GIT binary patch
delta 263
zcmeyv(#EQ6%*)Hg@!vhhoQZ+qF#{4{1+pE0xY%i;vbI<%dn!{3b2AeoLn>1iM>9hT
zvm^r}!$iL%My-h(CEaS7YnZcu3Tl8@oS~ITk|CHulf}<Xlkpa3VsUb6UP@+O`b$Qj
zahlAxSd#OLif(Zi=NFa4mnG(urWW5~&CE+lt(YvvsGxp}v0^1d5id~buSorj{M=Oi
z%*5P+L__`X{G#mQg2d!h{p9?V)X8~_p~_q!_pt#921XtrEaC^U{4|-0n1OT=3y{#{
kocx5*iIHovI+Hdd`(!^RMM02UF$a*~VHRTH;^1Ng0Q@;RJOBUy

delta 238
zcmZo;{llVc%*)Hg>OU`P2O|T+V+JI^3S>I~ak0)sW$lS6NiG^dP7OmALo-7Sqa;Hu
za}9GAV+vymQ!ir*a}84pvp7R5lO#hHQx<bDgC>ign<nEe&cx#6)V!3;y!4kq<AI`+
zc^IWQZn2dm=9H!uPgY}8u!v$#&M#WYP{a$A|COPik)NBYpO}=9sqd1XT$-DjS5mB>
zUX)sySdyQspO}-QP*9Ygm6}{qJUN#!l#3JOJ{BOsF!>y#7$e8zr;JXF+><q!v?oU}
N$?`J6q<NTySO629I4=MI

diff --git a/q02_Max_important_feature/build.py b/q02_Max_important_feature/build.py
index 51fbde6..29b4e05 100644
--- a/q02_Max_important_feature/build.py
+++ b/q02_Max_important_feature/build.py
@@ -1,3 +1,4 @@
+# %load q02_Max_important_feature/build.py
 # Default imports
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 
@@ -6,3 +7,15 @@
 
 
 # Write your code here
+def Max_important_feature(data_set,target_variable='SalePrice',n=4):
+    x=(data_set.corr()[target_variable])
+    x=x.sort_values(ascending=False)
+    return x.index[1:n+1]
+    
+    
+    
+
+Max_important_feature(data_set,'SalePrice')
+data_set.corr()['SalePrice']
+
+
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..6ad3f352849a512f0128e3c5489ffe6174da3815 100644
GIT binary patch
delta 48
zcmX@YxRsH^n3tC;O~D~%B8Rz5l72>hZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#H=U)
DQ|}Lm

delta 63
zcmdnWc!ZI|n3tD})qh^pL=JQ9Lj8>V+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(NO?<Diz)U

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..e6b003dca11c9d099a85217348c9a37d45961f32 100644
GIT binary patch
delta 51
zcmX@kyMvd*n3tC;O~D~%BgY{|nR5M%{M=Oi%*5P+L__`X{G#mQg2d!h{p9?V)XiTR
HFR=gsn<o*G

delta 66
zcmdnNdz_cUn3tF9r~kaDjU0y<wcGSF@^e%56O%GB^<DClOLJ56N{aQ<i&85SOY(E|
W6LWGD3X1ZxQj<%HH$P*%!~y^ktQgw>


From f4fbec70118bfe03e31f5b9dfd5ad87614a24d07 Mon Sep 17 00:00:00 2001
From: iampa1 <iampa1gehaney@gmail.com>
Date: Sun, 27 Jan 2019 04:06:10 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 179 -> 164 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 892 -> 925 bytes
 q03_polynomial/build.py                       |  12 ++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 185 -> 170 bytes
 .../test_q03_polynomial.cpython-36.pyc        | Bin 1393 -> 1378 bytes
 q04_ridge/__pycache__/__init__.cpython-36.pyc | Bin 174 -> 159 bytes
 q04_ridge/__pycache__/build.cpython-36.pyc    | Bin 975 -> 1083 bytes
 q04_ridge/build.py                            |  29 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 180 -> 165 bytes
 .../__pycache__/test_q04_ridge.cpython-36.pyc | Bin 2080 -> 2091 bytes
 10 files changed, 40 insertions(+), 1 deletion(-)

diff --git a/q03_polynomial/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/__pycache__/__init__.cpython-36.pyc
index aa42922819662c41fcd07685edf2a72bf7ac881e..65d49cb68a0976c11c69fb68e9838d397ba19f25 100644
GIT binary patch
delta 48
zcmdnYxP+0zn3tC;O~D~%B8Rz5pngVvZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4Jw$
DOOX#m

delta 63
zcmZ3&xS5f|n3tD})qh^pL=JQ91pSQs+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(VhTr&lQ>g

diff --git a/q03_polynomial/__pycache__/build.cpython-36.pyc b/q03_polynomial/__pycache__/build.cpython-36.pyc
index 3be41d0c14271187dca6351ed83186fc0c5c4807..92e306ed279559108bf12cca77bf9154dffa9162 100644
GIT binary patch
delta 570
zcmYjNzi$&U7`1)pyK8cnCRZjH%fL+mb?AaBBqYSrs1gInsuWrI-1NfzlFt>K6zFiQ
z2t}D082Ll^C%iJ{UqDFZb6EOW-_x`F{Jv-Z4ZerRCrL7R^yK{VjuG;k+$)a!1$O&+
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ztgs#mZ1`?&w9G3TcK=D{S>Dtiloqj;71ZUtHPR@{%NkViljsRv{xh3i*QJ`~vTWqD
z>DyYrZyUK#(*=sA+aK)V_BDHaHbQ9|ArLyEDUGQ<LO$F1h&vZ&7doH_8Pkqyr{3LR
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h+eg0#sk;$9$A{e%>dgI2J4T2x=ze*r?+<uH{{i>cj)(vN

delta 531
zcmYjOL5tKd6i(8n?R45vJP6*z6{M#g<{*fy%8Gl@b;ZjXl#-ofXS=l1;U!%e=&*<J
zCL+V0^(gq4diCf(5J6vN6gD9r-}jR5<-O!f_&eAcr)hlm%~$c05%Pmv865dzT;_1S
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z6!E?UIn{d-%zy6U&n_}5l5#ewTBVEQQkpF2!=u82EN6YV*b?xuF7O<<QhV>Dw0Mrs
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z@oAYqZ6<B4XV&CX&<kmsI>(l7&!IWf6KgI<?9sghO(sSl^g8wFO`1@+hUy?=;NBEM
zglu&Ak$n~-Qqs!8XbTZWMSu-zV_~on*rXHAyeZ`hj4;+m53$m=(!2QM+ba{i45xR)
F{|iaJh?)QZ

diff --git a/q03_polynomial/build.py b/q03_polynomial/build.py
index 26d8971..0785442 100644
--- a/q03_polynomial/build.py
+++ b/q03_polynomial/build.py
@@ -1,11 +1,23 @@
+# %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
+from sklearn.pipeline import Pipeline
 
 # 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):
+    model = Pipeline([('poly', PolynomialFeatures(degree=power)),
+                   ('linear', LinearRegression(fit_intercept=False))])
+    model.fit(X_train,y_train)
+    return model
+import numpy as np
+y=np.array([4, 5, 6, 7]).reshape(1, -1)
+
+
+
diff --git a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc
index 6e2087691199f0bc7e5f879b594cb46948bbd2d5..5a2b8512a73ce6b73c69684053de512214746ebc 100644
GIT binary patch
delta 48
zcmdnVxQda(n3tC;O~D~%B8Rz5xPC@{ZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4LXR
DPK6I#

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

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..7b7be3d8820d8ba39d3f9fe379ca29b44e35063c 100644
GIT binary patch
delta 63
zcmey!^@xkpn3tC;O~E0?U?b-wMwul2jQreG{mjJNf<#08@cg3e;)2BFRQ=@ql+?|~
T7^Rq4FDl*sskiwla}Of`geMjS

delta 78
zcmaFF^^uFyn3tC;Gh$wp-bT(zjM|0z8Tq-X`iV&ynffmI$)&lec_qdA=|!oPi6!~D
i`iVI?3I#>^S*gh-#hbS?N-?p{nmKc(<>qV5J&XV--W*^6

diff --git a/q04_ridge/__pycache__/__init__.cpython-36.pyc b/q04_ridge/__pycache__/__init__.cpython-36.pyc
index 43421366bedf944488ce2a27f63ac34969d0db1a..3ad8b5b270084da9f850ef632f98f9ae0d364240 100644
GIT binary patch
delta 48
zcmZ3-IG>Tjn3tC;O~D~%B8Rz*kA6meZmND}Vs1gAp?-LNQFd`bVsff}a(+tc#4Hy8
DNgEF^

delta 63
zcmbQwxQ>y-n3tD})qh^pL=JQ9X#I@*+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWiv(JlaNcol{K

diff --git a/q04_ridge/__pycache__/build.cpython-36.pyc b/q04_ridge/__pycache__/build.cpython-36.pyc
index ea08c01d1f9c64aa5e83fb47966104a8807f99e0..38aa31f4045545d832c9885862e5060986af3044 100644
GIT binary patch
literal 1083
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literal 975
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diff --git a/q04_ridge/build.py b/q04_ridge/build.py
index 9ee00b1..f551155 100644
--- a/q04_ridge/build.py
+++ b/q04_ridge/build.py
@@ -1,15 +1,42 @@
+# %load q04_ridge/build.py
 # Default imports
 from sklearn.linear_model import Ridge
 import pandas as pd
 import numpy as np
 from sklearn.metrics import mean_squared_error
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
-np.random.seed(9)
 
 # 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')
 
+np.random.seed(9)
+
 
 # Write your solution here
+def ridge(alpha=0.01):
+    clf=Ridge(alpha=alpha, normalize=True)
+    clf.fit(X_train,y_train)
+    y_pred=clf.predict(X_test)
+    return mean_squared_error(clf.predict(X_train),y_train)**0.5,mean_squared_error(y_pred,y_test)**0.5,clf
+    
+    
+
+ridge()
+clf=Ridge(alpha=100, normalize=False,random_state=9)
+clf.fit(X_train,y_train)
+y_pred=clf.predict(X_train)
+
+mean_squared_error(y_pred,y_train) **0.5
+from sklearn.linear_model import LinearRegression
+
+clf=LinearRegression()
+clf.fit(X_train,y_train)
+y_pred=clf.predict(X_train)
+
+mean_squared_error(y_pred,y_train) 
+print(y_test.shape,y_pred.shape)
+type(y_pred)
+y_pred[10]
+y_train
 
 
diff --git a/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc
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From b534c43d4f0d748b83064ede46e9763c241e2808 Mon Sep 17 00:00:00 2001
From: iampa1 <iampa1gehaney@gmail.com>
Date: Sun, 27 Jan 2019 04:13:19 +0000
Subject: [PATCH 4/4] Done

---
 q05_lasso/__pycache__/__init__.cpython-36.pyc | Bin 174 -> 159 bytes
 q05_lasso/__pycache__/build.cpython-36.pyc    | Bin 975 -> 809 bytes
 q05_lasso/build.py                            |   9 ++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 180 -> 165 bytes
 .../__pycache__/test_q05_lasso.cpython-36.pyc | Bin 2080 -> 2065 bytes
 5 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/q05_lasso/__pycache__/__init__.cpython-36.pyc b/q05_lasso/__pycache__/__init__.cpython-36.pyc
index 1005306dfd1495f17293e8f96d1fe442f494d410..090e79311e23c3344f079fa72b5a6ef1d852cb7d 100644
GIT binary patch
delta 48
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delta 63
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diff --git a/q05_lasso/__pycache__/build.cpython-36.pyc b/q05_lasso/__pycache__/build.cpython-36.pyc
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diff --git a/q05_lasso/build.py b/q05_lasso/build.py
index fb30d50..63af47c 100644
--- a/q05_lasso/build.py
+++ b/q05_lasso/build.py
@@ -1,14 +1,21 @@
+# %load q05_lasso/build.py
 # Default imports
 from sklearn.linear_model import Lasso
 import pandas as pd
 import numpy as np
 from sklearn.metrics import mean_squared_error
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
-np.random.seed(9)
 
 # 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')
 
+np.random.seed(9)
+
 
 # Write your solution here
+def lasso(alpha=0.01):
+    clf=Lasso(alpha=alpha,normalize=True,random_state=9)
+    clf.fit(X_train,y_train)
+    return mean_squared_error(clf.predict(X_train),y_train)**0.5,mean_squared_error(clf.predict(X_test),y_test)**0.5
+
 
diff --git a/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc
index 88694349bfe01743507f538dd58873ee81a6ec3c..6c3ba2d6d477c88eb0efcd3a4fb8ac0e539ee493 100644
GIT binary patch
delta 48
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delta 63
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index 438235e09efc7f1a0a186767f404ef51087308dd..0d61a78ac17617782d77e038845651144475a583 100644
GIT binary patch
delta 51
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delta 66
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