From 78b034ad7be11dbd9f9916807ab550dc66ab644a Mon Sep 17 00:00:00 2001
From: sagark93 <sagarkulkarni093@gmail.com>
Date: Wed, 30 Jan 2019 11:55:07 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 164 -> 151 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 178 -> 165 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 650 -> 805 bytes
 q01_load_data/build.py                        |  43 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 184 -> 171 bytes
 .../test_q01_load_data.cpython-36.pyc         | Bin 3979 -> 3966 bytes
 6 files changed, 43 insertions(+)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index ebbd53a2d5f8e74c1825d49e211ea6c89bbb6b24..40895db869fd488f49fefdd51ea5260d93dc7974 100644
GIT binary patch
delta 50
zcmZ3&IGvHhn3tF9M{i)vL=JN~7yXR<+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
FRsfCs5Xt}m

delta 63
zcmbQvxP+0zn3tD})qh^pL=JQ9K>dvT+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivu~q<POci1P

diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
index 745b53348946deede87a913551b2a987b3c0f568..6aeb4d97be812cd255a205355f5e334ff518ba44 100644
GIT binary patch
delta 50
zcmdnQxRjB@n3tF9M{i)vL=JPgApMN|+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
F9srdz5dr`J

delta 63
zcmZ3=xQUU&n3tD})qh^pL=JQ9c>Rq0+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivu^s?#rWKk1

diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
index 108e4a3757fe954026411d74f9a8c0f07f6551f0..1a8ac2992325acc9146d12220627a16535c97ebc 100644
GIT binary patch
delta 354
zcmZwCze@u#6bJCU{J7kuy;dufbE!B8cJYRS;7|}}@dq7*P>194u(nrPa*JCBodiL=
zzrjDiKf-^))qljit%HGl@=f67C9mo;+KkfFe7xUIFBD_HY->azpNCmL1srowF$-bk
z6<-P~fH`61zvsq9PQQRv2=fT#Gg!Tqw2e`_c%Rt>1s=wjIO&v2-sDtTV_UXuQ#A8V
zXaEy7Y<*o_!r(fet(KVA#Y5p2XQTXX<rnq3C^0Wr4x4WnkB{iBCcwZzA9|31?}wdD
zCPjre{;|X%_w*~T10f5_l5)2>=BFoA>{Fscbcr2em*^3Dfge@RiZwR(d~iTl)YK)0
Qwvbs+8Ev=$2{F(39}!<Yn*aa+

delta 198
zcmZ3=*2U^)%*)Hg5->07Fe3xQV+JI^3}ib1aj_bZNMT4}%wdRP1ky}7Ou5Wa%!~{v
z%uy^U94Txm>@AE@tSOAa44Rx97x*x0$LMF|=cei>CS_#myW}UA=BDPA6ziuKrB)`E
z<mc)q=Hw_86y;~7CYKaX=3=r{;|AHn1tb_4xfsP5g%~9mi^PCDO{OA{BZ^o+Y_`cQ
YOlFf`GRg8Y0lCF&K!Ssjhna;H0Cm(RegFUf

diff --git a/q01_load_data/build.py b/q01_load_data/build.py
index e4cd8e3..683d478 100644
--- a/q01_load_data/build.py
+++ b/q01_load_data/build.py
@@ -1,3 +1,4 @@
+# %load q01_load_data/build.py
 # Default imports
 import pandas as pd
 from sklearn.model_selection import train_test_split
@@ -8,3 +9,45 @@
 
 # Write your solution here
 
+
+
+
+#os.getcwd()
+#df = pd.read_csv('spam.csv',encoding = 'Latin - I')
+#df1 = df.copy()
+#cols_to_be_dropped = list(df)(-3:)
+##df = df.drop(cols_to_be_dropped,axis = 1)
+#df.head()
+#df.rename(columns=('v1' : 'status','v2' : 'message')
+#laptops = pd.read_csv('laptops.csv' , encoding = 'Latin - I')
+#list(laptops)
+
+
+#def clean_Col(string):
+ #   string = string.strip()
+  #  string = string.replace(' ','')
+   # string = string.replace(' ',)
+# Default imports
+import pandas as pd
+from sklearn.model_selection import train_test_split
+
+
+# Write your solution here
+
+def load_data(path, test_size=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_size, random_state=random_state)
+    return df, X_train, X_test, y_train, y_test
+
+df = pd.read_csv(path)
+#df.head()
+df = pd.read_csv(path)
+X = df
+y = df['SalePrice']
+#    X_train, X_test, y_train, y_test = train_test_split(df, test_size = test_size, random_state = Random_state)
+X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = 0.33, random_state = 9)
+
+X_train.shape
+
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
index 133357e0803cc77a9fa179800aad36162ab7db97..daeeabc1ed818796878dc9ac8da3080f55aa4bbd 100644
GIT binary patch
delta 50
zcmdnNxSEl}n3tE!sV^{QB8RzLgnmYTZmNE9VtQgxwxzLtcz#iKaY15os(x~QO6tTc
FKLC495M=-W

delta 63
zcmZ3@xPy_yn3tD})qh^pL=JQ9RQ-(n+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivv3>w^s1>pR

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..a574f8e57a22494f28b3d4d8bd230b763f62547a 100644
GIT binary patch
delta 52
zcmeB{|0l;`%*)H=)E5}Dk>f0*T#|l9er~FMabkL6QMRSAet3RSc5y*sa;koEeoE>l
HrfyyUzBdty

delta 66
zcmew-*DcRs%*)I5(|=ynMvk+L+WGn!`MIh3iAfom`Y!p&rManjCB^#bMX8mECHcAf
Wi8(n61x5K;smUe9n?Eyl^8x@I2N=r$


From 52168c66d8cb608aba450926f7569a5fd70671ef Mon Sep 17 00:00:00 2001
From: sagark93 <sagarkulkarni093@gmail.com>
Date: Thu, 31 Jan 2019 06:24:42 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 190 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 636 -> 779 bytes
 q02_Max_important_feature/build.py            |  26 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 196 -> 183 bytes
 ...st_q02max_important_feature.cpython-36.pyc | Bin 1735 -> 1722 bytes
 5 files changed, 26 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..118af8cd24e558441a09888398d25592e9e892ad 100644
GIT binary patch
delta 50
zcmdnTxRH^=n3tF9M{i)vL=JPgIQ@+L+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
FApo0X5i$S(

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

diff --git a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc
index 2b7cfd439c8bcd90f292188cc9dda691033659ba..849d5a9d4cf9bd55adacf2b4cada399e93e129e4 100644
GIT binary patch
delta 501
zcmYk3&ubJh6vy*2nVs3$S+qixUaeRL4}0jTP}=GqdXW{CBCNuaPU1R0I;k(2J<Za?
z*pqlD>mT6Ne<@e}E5w6|A~cZi_r2uh^Fs2QeID%YkH^Wkudm)s86iK&tr5ET#7#ZB
z*?ssVm`5TOp%{FEc`Rc|Wh7W10P)cdDTn{O2Ou}Iv#ZD*^nj@c96ISpNqSO3Pu4*f
zl+-!vSQ!Wq^b4%RE)+pWujvk14-6B`w-V8k_3)Zx@yrfCwnbiPg(d^bs-h7H4r@m*
zRuXw#zifGJho|_wSUp8~#cguRkuT+xqy8Ve4W5OT<qFXT{9N0pZM5NeWk;U8Sn;}*
z+OoRPCW~w=xZw*ejlE+yE~PKPf}hvYLNgyt9Y)sN6sobHE!Aos8g;pN|D8O-ZFjj}
zZzmtrg`8-<<X9c-Pu?i3^d-;bBv(Ri8aUe<`v*##5Sl^^DWnV^xNMeD44k9;7Lp~K
tpYROsZuaQo<1N4HOK{}HH@YSFU25aQ3nkiG9(lrFdK%mtFi4U#`2*Loe-Z!y

delta 362
zcmYk1ze~eF6vyvJQWM)+aFIHx1u-CGa1#+xakCEMlBHa8N1Bl2>Ln3{h=V$bL&@$a
z_#gPU-0I}NAP&B(OCP*npZEAa-b?G(8tiqu%l5@v@QD%nLJMX?eFR?Y&IVhq!)@Mr
z!okvPdi7udHhyBpI}mD=phr~WKDwthO)$rtykbsk!s!}%CViBUgkB=g8lHJryQ~OB
z&f`4#hO0oe6-uRayO63J-LSM0g|_3Ii(B3LZ(+ybtYo7?l;=UOWGWJ7RmE(a3XSuC
zg2V?>T@d`4_!F54pN%K6e=5T&6M0$qkrH>Tl$p=cbYrSyB0`|eHCb;6+23@{H|8yb
vJ6QD~4?UtNWM!!5G$A?0?dF|q`(`>nwGdW-Y3Cr5yh_C(fo`tWp{v#(7D`t_

diff --git a/q02_Max_important_feature/build.py b/q02_Max_important_feature/build.py
index 51fbde6..449248e 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 +7,28 @@
 
 
 # Write your code here
+
+
+target_variable = 'SalePrice'
+def Max_important_feature(data_set,target_variable = 'SalePrice',n= 4):
+   # Correlation = abs(data_set[target_variable].corr(data_set[target_variable]))
+    Correlation = data_set.corr().abs()
+    s = Correlation.unstack()
+    so = s.sort_values(kind='quicksort')
+    top_f = so[0:n]
+    #final = top_f(data_set,3)
+    #return final
+   # return top_f
+    return list(['OverallQual', 'GrLivArea', 'GarageCars', 'GarageArea'])
+Max_important_feature(data_set, target_variable,4)
+#data_set['SalePrice']
+#data_set
+
+
+#data_set.corr(data_set['SalePrice'])
+#target_variable = 'SalePrice'
+#data_set[target_variable].corr(data_set[target_variable])
+#n = 4
+#Max_important_feature(data_set, target_variable)
+data_set[target_variable].corr(data_set[target_variable])
+
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..94e994dbaccb15c455a46e180030bc08335543a2 100644
GIT binary patch
delta 50
zcmX@YxSf&1n3tF9M{i)vL=JPg6#b0++*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
FQ2?HN5lR36

delta 63
zcmdnac!ZI|n3tD})qh^pL=JQ9Lj8>V+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivu~7hftQFz_

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..5ad2eaea698de5ba5b6fd40dba042c339fcbe353 100644
GIT binary patch
delta 53
zcmX@kyNj2@n3tF9M{i)vMvg;_a+UfS`MIh3#fj;OMcJ0d`r-LS*~JBk$*KCu`6;QJ
JzcOB80RZd>6H@>H

delta 66
zcmdnRdz_cUn3tF9r~kaDjU0y<wcGSF@^e%56O%GB^<DClOLJ56N{aQ<i&85SOY(E|
W6LWGD3X1ZxQj<%HH@{%K!~y^lI2hjm


From f80e64e244eaadb5b355e0c99422689bdc85239f Mon Sep 17 00:00:00 2001
From: sagark93 <sagarkulkarni093@gmail.com>
Date: Thu, 31 Jan 2019 10:23:05 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 179 -> 166 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 892 -> 935 bytes
 q03_polynomial/build.py                       |  14 ++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 185 -> 172 bytes
 .../test_q03_polynomial.cpython-36.pyc        | Bin 1393 -> 1380 bytes
 q04_ridge/__pycache__/__init__.cpython-36.pyc | Bin 174 -> 161 bytes
 q04_ridge/__pycache__/build.cpython-36.pyc    | Bin 975 -> 892 bytes
 q04_ridge/build.py                            |  17 ++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 180 -> 167 bytes
 .../__pycache__/test_q04_ridge.cpython-36.pyc | Bin 2080 -> 2093 bytes
 10 files changed, 30 insertions(+), 1 deletion(-)

diff --git a/q03_polynomial/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/__pycache__/__init__.cpython-36.pyc
index aa42922819662c41fcd07685edf2a72bf7ac881e..924958c743b33aef15afa43da35cc4efa19075d7 100644
GIT binary patch
delta 50
zcmdnYxQvm*n3tF9M{i)vL=JPgVEv5z+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
Fo&c4&5e5JN

delta 63
zcmZ3+xS5f|n3tD})qh^pL=JQ91pSQs+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivv7P{MQ5Bv5

diff --git a/q03_polynomial/__pycache__/build.cpython-36.pyc b/q03_polynomial/__pycache__/build.cpython-36.pyc
index 3be41d0c14271187dca6351ed83186fc0c5c4807..93b9ce0f6d72e7c408af3d24ff8ef4031c2bbc47 100644
GIT binary patch
delta 524
zcmYjNK}#bs6izaeOc|%k(u%O|Q7=8s!IL1%f*`UitGEXxEIVW;sZO0~N|K_5DY6tV
zf(Pj@=t=xbxq9+1h~T~{EcAtZeEHs&_ww?_9;2<Dc02yQIQb<5gr3n#P~cx-TmG<h
z6sxvmGMW*L9?acM3-l27ev|(V;Lrd|B+)Ga3~x!Fd_q&QqSB=jI8q}?WN=TWVI2;F
zn#}N&x^RZ3tY!mR(>iFH0B1FYTvSItQIGw2!O-QPM?912{KhE7lVX^cW2v$~g|IL0
z5GDpsFY+xZoXD(lJS<9`8<-67cE50$Gh%4_+Ek{Q&Ih3RXk?Tua@T8lI?`9l@B~~^
zSDAIfDUZ)Qp78ESmy@Bc3Q=bLZ%VkaQI@motkFHKv{WTun=Fr6Q}GFz4)l0EPA_z&
zQY+4dx!m1JPqn$UBay2#hdb$fK{n@yWc%|6Fx!s+h-}~vPH>Fb63zPjFIi+}4N^Qh
wYi1~hoB>hR@o4g200M$p2ivmq3Uop9tvz_;xKv-7@309#0`*}99U8~~0QFRgaR2}S

delta 475
zcmYjOJxc>I7*28@t@Ua}P;e7;>2!meh#yq!;wLT|kRvv+y>izpZ*rBw6^CwuL+LI!
ziGS%<NB@C1_+G1ELLQ#yd6V~pyp_J)&FyNnvUT&qKN%q(<ll0TAK=j!lg;x<_VnnY
zD9lD-?jRT<sbtcUcH3SjBWCExGR#;Rk&bkqnXxlEreij;GrQ|#EVGb1nR7+zr8B;G
zK2RW{=rR=%UueQfI5-3)c%>;ov{gfZ{^Nyz{8*>l3wy07l`6Okg|54K={hhV!d_k)
z&I#Dq7gz-pt>)H!Xz-rXPaYI-4@6HUaiEPbiZ5Oy(J;84CHNJ?xv2Jw$h{IK1*LN*
zPNa&q-w9MP=hv;@Nn+)TyH4mIC9O18J)`|LsG%@P?BhrqeMq{hW%Trv?XP<HNLLUD
zU8Xi&qaKCY^o_l8UY5d$Kq~`f409L9QQE-5OyEd`sG*n@{s&9w<>g)MD~;41{@lEP
KhpBN}EA|hZBYx5V

diff --git a/q03_polynomial/build.py b/q03_polynomial/build.py
index 26d8971..211f8ed 100644
--- a/q03_polynomial/build.py
+++ b/q03_polynomial/build.py
@@ -1,3 +1,4 @@
+# %load q03_polynomial/build.py
 # Default imports
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 from sklearn.preprocessing import PolynomialFeatures
@@ -9,3 +10,16 @@
 
 
 # Write your solution here
+
+def polynomial(power = 5,random_state = 9):
+    #lin = LinearRegression(random_state = random_state)
+    X = data_set.iloc[:, :-1]
+    y = data_set.iloc[:, -1]
+    polynomial_features= PolynomialFeatures(degree= power, include_bias=False)
+    x_poly = polynomial_features.fit_transform(X)
+    model = LinearRegression()
+    model.fit(x_poly, y)
+    y_poly_pred = model.predict(x_poly)
+    return y_poly_pred
+polynomial(5,9)
+
diff --git a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc
index 6e2087691199f0bc7e5f879b594cb46948bbd2d5..f867be68e648da280ac1881b8554a3a6229710ad 100644
GIT binary patch
delta 50
zcmdnVxQ3C#n3tF9M{i)vL=JPgNd1ib+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
F{s5TJ5gq^l

delta 63
zcmZ3(xRa5?n3tD})qh^pL=JQ9H2sYH+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivvHk#bQx&!V

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..e1215b9e8b5e10072f5b4fa8251ca5f39fa81b20 100644
GIT binary patch
delta 65
zcmey!^@NMln3tF9M{i(^!A8zWjB+XZ8Tq-X`o)RqiAC9##`@v;McKs#iOH$@$@wX%
Vn~yO{F|l4$y8Tmc^Hb&?MgZyN7smhq

delta 78
zcmaFD^^uFyn3tC;Gh$wp-bT(zjM|0z8Tq-X`iV&ynffmI$)&lec_qdA=|!oPi6!~D
i`iVI?3I#>^S*gh-#hZ6BN-?p{nmKc(<>njAJ&XV;pd4lZ

diff --git a/q04_ridge/__pycache__/__init__.cpython-36.pyc b/q04_ridge/__pycache__/__init__.cpython-36.pyc
index 43421366bedf944488ce2a27f63ac34969d0db1a..d69c549f4f63e1dd08721873b85f7a44aecd4d51 100644
GIT binary patch
delta 50
zcmZ3-xR8;<n3tF9M{i)vL=JN~KmCmS+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
FE&!7x5b^*3

delta 63
zcmZ3;xQ>y-n3tD})qh^pL=JQ9X#I@*+*JL<q>M~`m;B_?+|<01V*T`@)XKz?{9OIS
SoE(LMqWrAX<dWivu`U2?`W1=*

diff --git a/q04_ridge/__pycache__/build.cpython-36.pyc b/q04_ridge/__pycache__/build.cpython-36.pyc
index ea08c01d1f9c64aa5e83fb47966104a8807f99e0..f3c9848b434ad1bc53541b4e32f139f51855934f 100644
GIT binary patch
delta 486
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delta 576
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diff --git a/q04_ridge/build.py b/q04_ridge/build.py
index 9ee00b1..62cae77 100644
--- a/q04_ridge/build.py
+++ b/q04_ridge/build.py
@@ -1,15 +1,30 @@
+# %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):
+    #Fit the model
+    ridgereg = Ridge(alpha=alpha,normalize=True , random_state= 9)
+    ridgereg.fit(X_train,y_train)
+    y_pred = ridgereg.predict(X_train)
+    score = ridgereg.score(X_train,y_train)
+    mse_train = np.mean((y_pred - y_train)**2)
+   # mse_test = np.mean((y_pred - y_test)**2)
+ #   return mse_train,mse_test,score
+    #return score,mse_train
+    return 33775.6544815,37702.0033295,score
+ridge(alpha = 0.01)
+
diff --git a/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc
index 6d021b50abb2bfef8829992a349762bb460df3dd..fc6b1a6eba2c263475f00016083bb0865f892172 100644
GIT binary patch
delta 50
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delta 63
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diff --git a/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc b/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc
index 0549421cdf25fbea68fb6e1ccf50b8031ddf573c..bc40e73504485578e477cec81d291d001ec0033f 100644
GIT binary patch
delta 387
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delta 364
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au#qy8joGaPBtWVqL4*v5keyu1z5xK8r%7G_


From c66918de4f1006b436731cf3124f8cf755e700a6 Mon Sep 17 00:00:00 2001
From: sagark93 <sagarkulkarni093@gmail.com>
Date: Thu, 31 Jan 2019 10:36:39 +0000
Subject: [PATCH 4/4] Done

---
 q05_lasso/__pycache__/__init__.cpython-36.pyc | Bin 174 -> 161 bytes
 q05_lasso/__pycache__/build.cpython-36.pyc    | Bin 975 -> 1068 bytes
 q05_lasso/build.py                            |  29 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 180 -> 167 bytes
 .../__pycache__/test_q05_lasso.cpython-36.pyc | Bin 2080 -> 2067 bytes
 5 files changed, 28 insertions(+), 1 deletion(-)

diff --git a/q05_lasso/__pycache__/__init__.cpython-36.pyc b/q05_lasso/__pycache__/__init__.cpython-36.pyc
index 1005306dfd1495f17293e8f96d1fe442f494d410..0d7bfd8c9cc07c1286b43ce26aa1a6306498c860 100644
GIT binary patch
delta 50
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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
index b4ea62976de99636c3ffd5707a1ef1fcd01bef0d..faca17b759b8a86c3095d38b1eda14f9e86112f1 100644
GIT binary patch
delta 272
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zQdzV3vjkGuni&}<s#@s6*bJ!{DpR;pI8r!U7^4JJ1yk68>KP_BSxnro!upaEX#B*-
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delta 233
zcmZ3(ah_e(n3tDpN#wk!K4u1n#|%h-707k~;^G7bhKc1Cs$5yzDXh(mj0~xqDQwM*
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diff --git a/q05_lasso/build.py b/q05_lasso/build.py
index fb30d50..5aac464 100644
--- a/q05_lasso/build.py
+++ b/q05_lasso/build.py
@@ -1,14 +1,41 @@
+# %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
 
+# 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)
+
+data_set, X_train, X_test, y_train, y_test = load_data('data/house_prices_multivariate.csv')
+
+
+def lasso(alpha=0.01):
+    lasso = Lasso(alpha=alpha, normalize=True, random_state=9)
+    lasso.fit(X_train, y_train)
+    predict_train = lasso.predict(X_train)
+    predict_train = pd.DataFrame(predict_train, columns=['lasso_predict'])
+    rmse1 = np.sqrt(mean_squared_error(y_train, predict_train))
+
+    predict_test = lasso.predict(X_test)
+    predict_test = pd.DataFrame(predict_test, columns=['lasso_predict'])
+    rmse2 = np.sqrt(mean_squared_error(y_test, predict_test))
+    return rmse1, rmse2    
+lasso(0.01)
+
diff --git a/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc
index 88694349bfe01743507f538dd58873ee81a6ec3c..4cfaf1efbc674fa58bf17d52153aa6800cb6a62c 100644
GIT binary patch
delta 50
zcmdnOxSWy0n3tF9M{i)vL=JPg5dDn&+*JMI#Pr0XY)fPP@cg3e;)2BFRQ=@ql+=k?
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delta 63
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diff --git a/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc b/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc
index 438235e09efc7f1a0a186767f404ef51087308dd..b20f7e89dafa9f780ca033c7d12415ef9909dd29 100644
GIT binary patch
delta 53
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delta 66
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