From 594fa47d5efcb64119ff899f8a982f13fc3182de Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Wed, 17 Oct 2018 19:05:39 +0000
Subject: [PATCH 1/2] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 141 -> 163 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 155 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 414 -> 331 bytes
 q01_load_data/build.py                        |   9 ++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 161 -> 183 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1525 -> 1547 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 156 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 660 -> 672 bytes
 q02_data_split/build.py                       |  14 +++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 162 -> 184 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 3134 -> 3156 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 159 -> 181 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 924 -> 744 bytes
 q03_data_encoding/build.py                    |  12 +++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 165 -> 187 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2197 -> 2219 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 157 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1006 -> 1163 bytes
 q03_ohe_encoder/build.py                      |  18 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 163 -> 185 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1478 -> 1500 bytes
 21 files changed, 46 insertions(+), 7 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index b0c3719c2f46201b3baa3fcef746c16a601c9e9f..423888ac994efa6162f7380336a29d9df9d2d32b 100644
GIT binary patch
delta 57
zcmeBWT+GN}%*)GFA$&Y~B8RzZfPO}PZmND!Vs2$(c2Q<=MqXl`g_(YMeo=ODL1J>M
MesX?F>O?<#0RQh3Hvj+t

delta 35
qcmZ3?*vrUa%*)I5Qh!m@L=JO)EB%c8+*JMaqSVU7lKk9>DfR%jdkbO!

diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
index 4596200714efc1a2bd21ca0d0f36671155da8439..cedda302b131361af9e244d49a616e662cf41f2a 100644
GIT binary patch
delta 57
zcmbQuxRH^=n3tEULil*}L=JP+IQ@+L+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt+00>+YZvX%Q

delta 35
qcmdnUIGd5fn3tF9rT(I*i5%wq9{L&ixvBc;MX8mECHc7%Q+xruJqwxu

diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
index 98e98a79cdf9a026efe48fdde2a84d1da49836cc..8c55f6b27936036c36f65bfa9e222d26f7bce246 100644
GIT binary patch
delta 227
zcmbQoe42^Vn3tEUO89v6zKNVp^^6P*3@kwG48+BJK%#^pi?N0wg)xPxmnoP*liBYV
zqqQdEE#~6X0!^k{Oa&=X97U;#De=k0Wk6w;g2a-Hl?+8}K%Kv$^)vEwQ}v4yb1M_G
zi!zHd@)Gkb%=E+ai?WLg5|dN)lk-zj^>a&eN;1n5i!u{SQsXB}GMf0ZgY0Gk5)6z*
s96(Z&`4(G2VqQvOaS_OAU@@=_NCZgFEe@O9{FKt1R6CGnun8Qj0Gcm2F8}}l

delta 296
zcmYjNJ5Iwu5Z&1|j-3xBXJD%oNHicMf@qNtsoYo#GY~9qZ0#-*NI{&yMJ_;rM8O@n
z0XNu|DpyFwI2FY_&AidPnKwW3UFAoU$?)^|qxfCtvo|S(NH{Jy{2@aS6|4jT%1*w*
z3Mz>T6Wr@$r7*=o2R(Zubau6c6Ae*$YB#`>n*oECF}Zi<E{>g9Vq;4mOrW`jB0<-*
zI*GEyV(7?V8O-f@O)>Sxwlx(aN1j6YxI}vHWm*#!MUEyI7PRyw+=v%!FQ<#f()7X6
ziwTWgf6uOa13qOCunz~|CY)&%)0R&#-ep|wxSha17;__Lr?$bTn$CI;zW+z2{s7B(
BOcMYA

diff --git a/q01_load_data/build.py b/q01_load_data/build.py
index 7cd3700..421b7a2 100644
--- a/q01_load_data/build.py
+++ b/q01_load_data/build.py
@@ -1,4 +1,11 @@
+# %load q01_load_data/build.py
 import pandas as pd
 
 # Write your code below
-    
+# path = 'data/student-mat.csv'
+
+def load_data(path):
+    return pd.read_csv(path, sep = ';')
+# load_data(path)
+
+
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
index d07fd2f92eb40b45050574e400ae0ba39249b5e5..6e6da1276c4949c55a827ab9dbdab5683f3c1cef 100644
GIT binary patch
delta 57
zcmZ3;xSf&1n3tEUM)-L2L=JP+6#b0++*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt<01UDdivR!s

delta 35
qcmdnaxR8;<n3tF9rT(I*i5%wqe)<{txvBc;MX8mECHc7%Q-T4$M+>q5

diff --git a/q01_load_data/tests/__pycache__/test.cpython-36.pyc b/q01_load_data/tests/__pycache__/test.cpython-36.pyc
index 9aa6996833ac66f36d6c99e9f80a514b1a8a8440..d4d20046aa1c5169b72585406a15a3a8b9094300 100644
GIT binary patch
delta 59
zcmey$-Oa;c%*)GFBYZr1Bgacd)dc;F{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
ORQ=@ql+;a3Uzq_{dKD1>

delta 38
tcmeC?`O3{<%*)FqWWFeBBgacdelPuu{M=Oi^rF<t#FG5n&0<VnnE~Eg3~B%X

diff --git a/q02_data_split/__pycache__/__init__.cpython-36.pyc b/q02_data_split/__pycache__/__init__.cpython-36.pyc
index 5d17273741a726a430cdf3ccf2eb63426483d618..105689186b34cb3618976975beb4bac19901c989 100644
GIT binary patch
delta 57
zcmbQkxQUU&n3tEULil*}L=JP+c>Rq0+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt600{LHa{vGU

delta 35
qcmdnQIERtLn3tF9rT(I*i5%wqp86U2xvBc;MX8mECHc7%Q~UtDlnb5!

diff --git a/q02_data_split/__pycache__/build.cpython-36.pyc b/q02_data_split/__pycache__/build.cpython-36.pyc
index e6bd2ebf2f76eee17541ce631c667ecb332558ff..76b1e39e89e4ed65a87c16f264b2acf43198e024 100644
GIT binary patch
delta 366
zcmYjLJxc>Y5Z&3^`wExT20Od6IWQn1qGiCsM$othjwN$3XL29xonT}S3oT6%VxyIR
z!(ZTkxPK7rEUny2<rI%MGjHC!SM$Skd+m1XGx@syS-N}M3<wf5W+t~HK=uUOMiZ@P
z!ky*C)#D){M3Gy9fE0}dtw3qsB^50}fuhJ7^@0sqWmK#(D@z%QDN|Wvc20czjMIK^
z4cf&A&cuCO+`PXvwLV$f&6M(1DMg%yMf?zPPl^<?BrHl%MtZlyP-b~;lx5-DHN|la
zgBs@C9)z1KZVgr;bay>%^*anESrP?OBy%y9aWP3ndaxf{W^!8OViX0V45QTx^tW6s
zFB}bocEF)qRCYA?-PJeXskAh&tz0J&MNM;*P0)=(Hh=y>yHPqvNrrc`=$Ptm<LZG2
H4mj)&f7M;8

delta 358
zcmYjMu}T9$5Z&3^-Mf<nG@v9{SW0YyTG&Xev=R{n(L*>6cM~Ibxv;lFB70b9N{bj9
z1ws4;f5FCI*gr^XX`_2r<qZt;-aOtg@AR4a+tupA*Um@qHu1Ms9Y7p$Cnf<Ez{x!X
zj8o1YP~c8Z&+iTqLK<Bc9yG?b(=qPg2FhVhWu<}@XwaBr?r`!*E=ca=B&RvkjwYIF
z)*&aT=^o9%W_Dj+3ViR)HY{sm<13M=Fzek4Q;|`hr%9NpXj6&VpM~^FS3r7kdMTZP
zxCZl%finXm;|@b5qh8;z;q(|9%Zt|Vd(gT{6Vd8QF^W{0w4U(V^b^+W)Go6k55Wr5
ypboNT=cYIP0lsh8z#fk>g9lvtRxg*b2%Kw6mKtw2N%>7I+QmO*U<E4R+4=`vlUq3e

diff --git a/q02_data_split/build.py b/q02_data_split/build.py
index c2e7147..fac2332 100644
--- a/q02_data_split/build.py
+++ b/q02_data_split/build.py
@@ -1,8 +1,20 @@
+# %load q02_data_split/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
-from sklearn.model_selection import train_test_split
+from sklearn.model_selection import train_test_split as tts
 import pandas as pd
 df = load_data('data/student-mat.csv')
 
 # Write your code below
     
+def split_dataset(df):
     
+    X = df.drop('G3',axis=1)
+    y = df['G3']
+    
+    X_train,X_test,y_train,y_test = tts(X,y,train_size = 0.8, random_state = 7)
+    
+    return X_train, X_test, y_train, y_test
+
+# split_dataset(df)
+
+
diff --git a/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc b/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc
index e780e63f202604d8b01427afe772dd73a1ea13a3..ac870a911f2eadb1895b74ca7dbadb4c6743abc1 100644
GIT binary patch
delta 57
zcmZ3)xPy_yn3tDJDff8vL=JP+RQ-(n+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNr}01WXHj{pDw

delta 35
qcmdnNxQLO%n3tF9rT(I*i5%wq{`wjDxvBc;MX8mECHc7%Q$hf~o(r}B

diff --git a/q02_data_split/tests/__pycache__/test.cpython-36.pyc b/q02_data_split/tests/__pycache__/test.cpython-36.pyc
index a1b3fc579e35798e380953fe62d7efac2225573f..0a76868c07e6fdd2555533a223036e9d690c2c55 100644
GIT binary patch
delta 60
zcmdldaYcf|n3tDJDff8vMh;~r)kOV_{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
PRQ=@ql+?{uOe|agQ6dw`

delta 38
tcmca2u}^}-n3tF9i20(ZjU38M{NDN*`MIh3=|!oPi6!~Dn**3wxB%vl3)27q

diff --git a/q03_data_encoding/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/__pycache__/__init__.cpython-36.pyc
index 884722b9e5eb21d01be2d88d202ca11e74eb4609..66fab604cc79edd68c80ea4c25c05fda6c793893 100644
GIT binary patch
delta 57
zcmbQwxRsH^n3tEULil*}L=JP+B>jy1+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt901Chpe*gdg

delta 35
qcmdnWIG>Tjn3tF9rT(I*i5%wqKKdE?xvBc;MX8mECHc7%Qvw0KnG31_

diff --git a/q03_data_encoding/__pycache__/build.cpython-36.pyc b/q03_data_encoding/__pycache__/build.cpython-36.pyc
index 302366cb1c8d346c67f347e326ce7abc487c2dcb..18640a0e2bbe501cadec72acf7c5482bf8dd46a1 100644
GIT binary patch
delta 320
zcmYjNy-LJD5Z;|!ez}NXEp|exEri2DZ0v0;lvo_gWy9qz*(|#`A&~Qmdjd)83)tBC
z41$gQK7r3*<!qtIFdyGA-^_f>bNJ=QXK9+eJ-*-Xp5l+4M+gDTD@=2W(2+ga!a!DZ
zfEDcNmJIZd(*dgzZb(M2Gfz)YpZi>?y3f<H>gJv1(v+=kGS7y0uB@aDkO<RRsKpD>
z5zc(i*|Kc})BL#U`C3<IDY-nKvD;R!jp7Tz7HuKe_z5TD46>utxpR{Q0+`Y%=wy6=
zSC#v6)2QBpR5nmt7Tj1+g@vNjKB{$qV8i~`2@-Uo6W4O<{z2@N(M8i1n_67DmzV<t
LJcbdufWyfT={8eZ

delta 496
zcmY+9y-or_5XX1-zJP#2VidcpOwNQ@*jNx7wV<)F(2y8%VfWz3-QKx-7%)dDh>5MC
zwX(DEL3o61ZS)naoFzgallf=%xAXaJy*b6xN~P2|dvAZe78g?!A!LDHfXf$<49(Dl
zj7AxzI7b6Q$swANOLR{sMrI65U=}605onHOJtqTu$qZ^dulY7<BFJ)b43*nic)E$2
z=%Id#a+KqM+#t_<@)++Xlu0-1GnXg4!G|#uVb^{1qoKx$`%eUh)qk{Hdj+A7QkL*}
zk10#`{gf%fQ)P!zFh6RWVU%>+l_1PIR~cl<AQ7=Du0zjM&RqwdAy+m8OlFEiOyTeY
ziCyUZ+dAndF+1rAHuke5o^#wfD8Yv;gCJs)eX@s-@G%y(`2v5Alm&aHV^M%#Wv4!;
zzEmWoiqJqgqtz@3^ekt*0uTTYH7HvS-jJ$pRcOWu9Y*Y2UoLk*%2-=L8>x~%(v*kH

diff --git a/q03_data_encoding/build.py b/q03_data_encoding/build.py
index bb4c8ca..283b82b 100644
--- a/q03_data_encoding/build.py
+++ b/q03_data_encoding/build.py
@@ -1,3 +1,4 @@
+# %load q03_data_encoding/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from sklearn.preprocessing import LabelEncoder
@@ -5,10 +6,19 @@
 import pandas as pd
 df = load_data('data/student-mat.csv')
  
-x_train, x_test, y_train, y_test =  split_dataset(df)
+X_train, X_test, y_train, y_test =  split_dataset(df)
 
 # Write your code below
     
+def label_encode(X_train,X_test):
+
+    le = LabelEncoder()
+
+    X_train = X_train.apply(le.fit_transform)
+    X_test = X_test.apply(le.fit_transform)
     
+    return X_train, X_test
+
+# label_encode(X_train,X_test)
 
 
diff --git a/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc
index 7d18c185f615d8dacd541c2aac10e2127c6a6058..c084ebf12f5a9ad01b907e6a357b64d84a9fa352 100644
GIT binary patch
delta 57
zcmZ3=xSNr~n3tDpd)@Kqi5%vt8TuLdxvBa^iMf@D*+rSf8F`6$7H0b4`9;~q1&PV2
M`pNkzsT2Le0WHfEK>z>%

delta 35
qcmdnZxRjB@n3tF9rT(I*i5%wqLHZf_xvBc;MX8mECHc7%Q^EniqYJ_S

diff --git a/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc
index 8ade2b73d89dd5f9591f59a4f4d14aa50d93bd2e..6faf62bd22873e799b74c5a08b681fea2f72db60 100644
GIT binary patch
delta 65
zcmbO#xLT0In3tDpd)@KqjT{P0YAN~|`MIh3MTxnUiP=S&#Tj{tc@}2+;rT_`#RZAU
Vsrt$JDXIFCU$V<@4rj7s0|3ja7Bm0=

delta 43
zcmZ22I8~6tn3tDJ*J4rBMh*og0YCkW{M=Oi^rF<t#FG46{mK8?<u~Ut*|7lt378ES

diff --git a/q03_ohe_encoder/__pycache__/__init__.cpython-36.pyc b/q03_ohe_encoder/__pycache__/__init__.cpython-36.pyc
index e4ec35b27b6016dd979d13f661e08f8147e0e802..97cc71b70acad45699ac93439533d6d0a54a3284 100644
GIT binary patch
delta 57
zcmbQsxS5f|n3tEULil*}L=JP+1pSQs+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNun011v0cK`qY

delta 35
qcmdnYIG2&bn3tF9rT(I*i5%wqUiumNxvBc;MX8mECHc7%Q~UwE>kFa)

diff --git a/q03_ohe_encoder/__pycache__/build.cpython-36.pyc b/q03_ohe_encoder/__pycache__/build.cpython-36.pyc
index 1433b7bfe437842ddac619a606d8eb33eef1b873..dc2b7838d18207c9ebb7074bfb898905974df371 100644
GIT binary patch
delta 650
zcmYjO&1w`u5bmGZ`Ps~FHa{9c)I(5Mg4shrJctnz^Z^1I+UU~R?#<3-=ZBtIaAB4R
z6Y&r{taJ4(d;pKW!(7Fy51<HE&3Z^T^;Ok3Rn%8Kznm*?d#}}Me*O6UHL(c!L9QLh
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eTPt;+gt3}V^i%vfDc1TR60b{L=CTgEW&HymIF^e5

delta 530
zcmYk1O-ma=7{}*jv%A^s#uzJlvISAhL4tVcK}w;PUc`%+Fci`y^F$-=3o|Pi*w90~
zNtLkQz?0v=uOf5kMbCZ!Pd=mAI>YmyKl8lIZ!YSO-s*M~1*6Z`;*Jq=Pu?vD{Z|ZK
z%vLw|geQq~PJB@ZDr-|J0^kr#=}$*AL?|NBl&<v73CuwYg5&uqozh)`b!})5sq|(2
zoQehM9FR^hyIG(8y;^MG@TVW$qbz~$p@MN-WJ$OB#XnZJbZy^eH8K&Gs0fb%N3qMr
zux#Hj^ae^nN+zjff7pbV{Fs*b?8HIGN`#oyN~f$<J@)ChadjRm4IQrR01*vGMZZvS
zs)w0MO#PqjxQ6zG+v^vg3)39L1srB-+#jV9&IHenKr}G<)+t)AmH%&)rGJ$Woe8j|
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yqtv))kg!^JR=#_fQS(;pxOV_AC@&QLPLj#f6Zk^0Lbp&tL<p%*ede<kTjtMD3Vu%j

diff --git a/q03_ohe_encoder/build.py b/q03_ohe_encoder/build.py
index 36e4b90..5c66ce2 100644
--- a/q03_ohe_encoder/build.py
+++ b/q03_ohe_encoder/build.py
@@ -1,19 +1,29 @@
+# %load q03_ohe_encoder/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
+from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
 from sklearn.preprocessing import OneHotEncoder
 import pandas as pd
 import numpy as np
 
 df = load_data('data/student-mat.csv')
  
-x_train, x_test, y_train, y_test =  split_dataset(df)
+X_train, X_test, y_train, y_test =  split_dataset(df)
 
 category_index = [x for x in range(len(df.columns)) if df[df.columns[x]].dtype == 'object']
 
 
 # Write your code below
-
+def ohe_encode(X_train,X_test,category_index=category_index):
+    X_train,X_test=label_encode(X_train,X_test)
+    ohe = OneHotEncoder(categorical_features=category_index,sparse=False)
+    ohe.fit(X_train)
+    ohe.fit(X_test)
+    X_train = ohe.transform(X_train)
+    X_test = ohe.transform(X_test)            
     
-
+    return pd.DataFrame(X_train),pd.DataFrame(X_test)
     
-   
+# ohe_encode(X_train,X_test,category_index)
+
+
diff --git a/q03_ohe_encoder/tests/__pycache__/__init__.cpython-36.pyc b/q03_ohe_encoder/tests/__pycache__/__init__.cpython-36.pyc
index 8c87a88f1c4ac0875da221298faa5cf1f1990908..0e77827a682780368b50d9f68df4fb544134d1ef 100644
GIT binary patch
delta 57
zcmZ3?xRa5?n3tDpYy0u&i5%vtY5E!YxvBa^iMf@D*+rSf8F`6$7H0b4`9;~q1&PV2
M`pNkzsT2J|0WIJZKmY&$

delta 35
qcmdnVxR{Z{n3tF9rT(I*i5%wq0s0yFxvBc;MX8mECHc7%Q$hj0^$WTH

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index 1956a19a3862d792c03ff34e686b4f3716827383..8ee1d1d727234cd3a8d4326184b447120b6154aa 100644
GIT binary patch
delta 238
zcmX@ceTSRFn3tDpYy0u&jU0K5wo$ApC6xuKnoPHt^bBq>R;*+w;$>i9_?4uek)NBY
zUzC_znV4OaS)7rVm}g<8AD&;7U0jfuoT{IkpOQLxE@K!Y|Ku->pSeMrz&eZgCVyh;
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bxrXJBiZDo$3q**62#_*})yR&R!>R=U7DzPG

delta 243
zcmcb^eT<vKn3tC;(_&H7Mvgp2ja#fKC6xuKnoPHt^bBq>R;*+w;$vW7_~oOYk)NBY
zpI($&nOKsat3O$RRethiMl(i%$y`jIxj|~c3XAwBb1-)>3QeBKY-lJ96urfloLG{Y
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g;$SHfoIHu;kBSILk_$vgfC!K>h=Y)wwuw~>0EbC5N&o-=


From a36c4473273e8494ddec22812ea6bbd09c1195cb Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Thu, 25 Oct 2018 17:12:49 +0000
Subject: [PATCH 2/2] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 164 -> 186 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 921 -> 904 bytes
 q04_data_visualisation/build.py               |  14 +++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 170 -> 192 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1259 -> 1281 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 169 -> 191 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 810 -> 811 bytes
 q05_linear_regression_model/build.py          |  14 +++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 175 -> 197 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1588 -> 1610 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 162 -> 184 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1086 -> 1018 bytes
 q06_cross_validation/build.py                 |   9 +++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 168 -> 190 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2082 -> 2104 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 161 -> 183 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1168 -> 1190 bytes
 q07_regression_pred/build.py                  |  12 ++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 167 -> 189 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 3674 -> 3696 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 158 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1359 -> 1382 bytes
 q08_linear_model/build.py                     |  13 ++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 164 -> 186 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 3958 -> 3980 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 170 -> 192 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1339 -> 1329 bytes
 q09_advanced_model_q01_lasso/build.py         |  12 ++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 176 -> 198 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 4099 -> 4121 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 170 -> 192 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1339 -> 1364 bytes
 q09_advanced_model_q02_ridge/build.py         |  13 ++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 176 -> 198 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 4079 -> 4101 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 165 -> 187 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 911 -> 842 bytes
 q10_data_missing_values/build.py              |   9 +++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 171 -> 193 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2358 -> 2380 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 177 -> 199 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1081 -> 1100 bytes
 q11_feature_selection_q01_plot_corr/build.py  |  35 +++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 183 -> 205 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1488 -> 1510 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 183 -> 205 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1715 -> 1472 bytes
 .../build.py                                  |  15 +++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 189 -> 211 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2604 -> 2626 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 163 -> 185 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 995 -> 1048 bytes
 q12_feature_selection/build.py                |  10 +++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 169 -> 191 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2699 -> 2721 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 160 -> 182 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 556 -> 1373 bytes
 q13_plot_residuals/build.py                   |  36 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 166 -> 188 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1475 -> 1497 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 158 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 2166 -> 2115 bytes
 q14_benchmarking/build.py                     |  18 +++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 164 -> 186 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 2092 -> 2114 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1461 bytes
 q15_select_best_model/build.py                |  16 ++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 191 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 0 -> 1994 bytes
 69 files changed, 210 insertions(+), 16 deletions(-)
 create mode 100644 q15_select_best_model/__pycache__/build.cpython-36.pyc
 create mode 100644 q15_select_best_model/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q15_select_best_model/tests/__pycache__/test.cpython-36.pyc

diff --git a/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc
index d44a511ba9fc7f538b045ab1a267d7e0fc7a3439..179b2e1bba03dfb312194037f1b69457eaada21f 100644
GIT binary patch
delta 57
zcmZ3&xQmg)n3tEULil*}L=JP+bp4F{+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNs!01dqplK=n!

delta 35
qcmdnRxP+0zn3tF9rT(I*i5%wqf%+NwxvBc;MX8mECHc7%Q^EkhObfmM

diff --git a/q04_data_visualisation/__pycache__/build.cpython-36.pyc b/q04_data_visualisation/__pycache__/build.cpython-36.pyc
index 2bfbd4e9d4e48bf9ff2e2bf665199d203cc772e7..c689d6ae2bd4f6a5cf7bd06a37ec4162108458b6 100644
GIT binary patch
delta 299
zcmbQq-oegk%*)I5cFOVSClfjUO2{xUFqAOVFr+Z1u%<Alu=KJpGL$f8F-<mL6qVrz
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F3;=bHPB8!g

delta 317
zcmeBRpUKW?%*)HQ-eOVIhKZbiqxBdV7)ltj7@HXw8A_OH7*ZHhSW}o&SbAB2e1<IM
z8pdWuFpCAGB84HCL6gldeb!76IBEaV2&nxQb9PFqCi5-U#GHbR#9QoXnd!xuRjIco
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zpQ}GPhe>|&6-EOo9-wS72asT3<X{wF<YFum0<tv)Z`n^yVA7lH!E~6BdomBRR1!Z>
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NAY|eKk|3M;m;eIFQfUAH

diff --git a/q04_data_visualisation/build.py b/q04_data_visualisation/build.py
index 9c15ad9..e9907d6 100644
--- a/q04_data_visualisation/build.py
+++ b/q04_data_visualisation/build.py
@@ -1,16 +1,22 @@
-# -*- coding: utf-8 -*-
+# %load q04_data_visualisation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
 
 import matplotlib.pyplot as plt
 from pandas.plotting import scatter_matrix
+# %matploylib.inline
+
 data = load_data('data/student-mat.csv') 
-x_train, x_test, y_train, y_test =  split_dataset(data)
-x_train,x_test = label_encode(x_train,x_test)
+X_train, X_test, y_train, y_test =  split_dataset(data)
+X_train,X_test = label_encode(X_train,X_test)
 
 # Write your code below
+def visualise_data(data,figname):
     
+    scatter_matrix(data, alpha=0.2, figsize=(15,15), diagonal='kde')
+    plt.show()
     
-    
+# visualise_data(data,'figname')
+
 
diff --git a/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc
index 6631d03b276322b5ac907bd3f7ff2fb8b5d823ea..80e8a4ed199dba1882d5f4decb20ed570719c559 100644
GIT binary patch
delta 57
zcmZ3*cz}_^n3tEULil*}L=JP+T>Xsv+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsE01;CYs{jB1

delta 35
qcmX@WxQda(n3tF9rT(I*i5%wq;rbc*xvBc;MX8mECHc7%Q(^$YRtweu

diff --git a/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc
index 5353356812e3190f1d8c90fdc95d0d7f053a87cf..3788e3c16b103874295603dbfd0fb234a860e037 100644
GIT binary patch
delta 98
zcmaFO*~rCV%*)GFA$&Y~BZm`{TBd$Rer~FMQDSaoVs=qxaYkNZo`soycz#iKaY15o
us(x~QN~-?k^~~~{E17mO%0vm~CYBWB<d@`RCg~Maf>=>(P<pZ-%Ul3nSt6kT

delta 71
zcmZqVdd<mU%*)HQ-eOVIMh+(?{$Tx#{M=Oi^rF<t#FG5n&G}3>8D(w><|dXD<m8v+
TWG3kqRDxKy*r4>}6qdOFWTG0K

diff --git a/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc
index 06a2a9b901d2940b1616332fc3af2e6292737630..c1dab24092e8299fbc3ded00c931aee34583c199 100644
GIT binary patch
delta 57
zcmZ3<xSx^3n3tEULil*}L=JP+9Q};^+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNu401&zprvLx|

delta 35
qcmdnbxRQ~>n3tF9rT(I*i5%wqVfq>QxvBc;MX8mECHc7%Q=$RD{|nLp

diff --git a/q05_linear_regression_model/__pycache__/build.cpython-36.pyc b/q05_linear_regression_model/__pycache__/build.cpython-36.pyc
index c40d112c5d846cc979296e4912c2f11a9f286eee..59af3126d366fc94a24085fc3340418561c81338 100644
GIT binary patch
delta 280
zcmZ3*wwjI8n3tDp_4MP>D<*P2uV-OkU|<GfXCN*X0}>?+%?!0nHB4EIH4HV3%}lk-
zHO#>bnv8y$Ohq8YQOs$XC7LX^7$a^mRz|VqWabs6rr%=C%}+_qS;<hu2~_ecQ$Hg=
zH&wqVF}E@?yC}0bBQG(}!c0FrzbL!7ATc>rKN+Z6KesfeWbz~?>B*gp7Lo!W``Lg5
z10x$F4`UHGkmaYzcgudV0+Zfk4yI!<QS1@%B}Ivuc~NXYMrv`%E%r)?z%4c)11JF2
n1a<)u!38wv7KaVceWf|6c1%ECF&~iNVdP-~VGbq%CO#GbD>O#6

delta 280
zcmZ3@wu+6@n3tF9y~U!a%!!=O>zNrC7(mz=h>N9wL<vI*V+vC*V=Yq+Qx;<lLk(jy
z6C*<nQ!s-jv!9zL<1Nm-{G!~%oXo0JO{O9ippIM2X_+OO%(oaLZZTFy3FKtvr6v}|
z7p0~br4|?G7p-I{;sUDr6|A3;pPQ-=6s=4w$<Ni#EzK#(oIHg|YH}B&g(M%yel{S%
zz{thO!&t-vWcg|G-Ljvo$fP%!lj&H@E%u7|lA^@SyjyHQMrv`%E%r*70FVI`0BZtU
lhD2}!4Z6i)lbfGXnv-hB2;>!m?BZeMVFF<eCIKcsW&pfDM*08%

diff --git a/q05_linear_regression_model/build.py b/q05_linear_regression_model/build.py
index 7a0a243..10abaa7 100644
--- a/q05_linear_regression_model/build.py
+++ b/q05_linear_regression_model/build.py
@@ -1,3 +1,4 @@
+# %load q05_linear_regression_model/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -6,10 +7,17 @@
 
 df = load_data('data/student-mat.csv')
 
-x_train, x_test, y_train, y_test =  split_dataset(df)
+X_train, X_test, y_train, y_test =  split_dataset(df)
 
-x_train, x_test = label_encode(x_train,x_test)
+X_train, X_test = label_encode(X_train,X_test)
 
 
 # Write your code below
-    
+def linear_regression(X,y):
+    linreg = LinearRegression()
+    model = linreg.fit(X,y)
+    return model
+
+# linear_regression(X_train,y_train)
+
+
diff --git a/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc
index 296bccee744fc133b0daf81192df00c01abd4b9e..42566779ba7863f409a3cd4d361f0a228570510c 100644
GIT binary patch
delta 57
zcmZ3_c$AUDn3tEULil*}L=JP+BK?f~+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtH02ELYzW@LL

delta 35
qcmX@gxSo;2n3tF9rT(I*i5%wqG5Q(#xvBc;MX8mECHc7%QxXBg2@C1~

diff --git a/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc
index 54551b93750f647d6e93e9edd56a0f2642a67061..5f175d458cc55d61a0a5d236c058ae12193f1020 100644
GIT binary patch
delta 65
zcmdnObBc$<n3tEULil*}Mvep~wLJZd{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
VRQ=@qlvMr6GOY5Or!&oE1^~T^71aO$

delta 38
ucmX@bvxSGln3tF9y~U!ajT{L~{1N&Y`MIh3=|!oPi6!~Dn|qn|G6MkaBn=Dz

diff --git a/q06_cross_validation/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/__pycache__/__init__.cpython-36.pyc
index 9a1c3aaa4d67dd0ebf5ed2b2e34d7c0807004b94..dde2f986157dad6f958227768e9cd021d64e3c58 100644
GIT binary patch
delta 57
zcmZ3)xPy_yn3tEULil*}L=JP+RQ-(n+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNr}01S&0ivR!s

delta 35
qcmdnNxQLO%n3tF9rT(I*i5%wq{`wjDxvBc;MX8mECHc7%Q$hf~o(r}B

diff --git a/q06_cross_validation/__pycache__/build.cpython-36.pyc b/q06_cross_validation/__pycache__/build.cpython-36.pyc
index 2e1c378d0210faf52111a997f473e84d10da11f6..23058547b9dc7d84aef3e471b8f6c7a7ed87fdcb 100644
GIT binary patch
delta 255
zcmdnT@r#|)n3tC;XwLEI#Tz+|8SB{?7#N&^xL5*6lrYpV)G*dCr7)&2^|I75*Dz->
zHZue>XfpdnF%=nUGDfi%C+8Ps=A~;g6@hd{vE-&E=4rCrV$ID@NzJ*%7;%fSGK!<f
zC?2FPbtOX)H&E5DB>jy1+*JLd#N5in?4r!#jJ(7=3p4%j{34$0;)2BFRQ+V2cKykx
zndB#{Gg*m=gB-*HBp8?k7>js;w5G@{`^o#6^foVNQe|Yh#gtbt`69Er1_w|IEDyE^
ZiQoZB+~TkSx~eoM)sAVh0*fpo3jmQsKxhB}

delta 312
zcmYj~Jxc>Y5QcYlZ|_4AL=-fISn4$%m_ih>u~i!zxh5RhHRimJu)7L@6N}VW-9NCi
z6np=I{bDWTFQjr78yV(dKHhm}6?}%#u-{)hK6y<?@6ixm0z$|IranX%l0!}fEC7gM
zf(j<QmOeA%HKc)tHcW8gw>;+yazo<adKux>k~uh|nA)%!=~*!~+V)gdiMkwVlNo8L
zI>Id-Kc#^l*J@f#V&Bs0YG(aEo%OVoLOC1dBdk}-tcpF$%Ua07!mWk5<qvmtA>N4E
zM#<_jxvxu^Oq85wrY@82i|%zlaJsRDTkTv3^f1)mBcUm9wT_dnW%~!4Sg3)6Gx~=e
SY;AakKOYNu4&67~1^Np^4^Ykk

diff --git a/q06_cross_validation/build.py b/q06_cross_validation/build.py
index 406a734..d2d414d 100644
--- a/q06_cross_validation/build.py
+++ b/q06_cross_validation/build.py
@@ -1,3 +1,4 @@
+# %load q06_cross_validation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -18,4 +19,12 @@
 model =linear_regression(x_train,y_train)
 
 # Write your code below
+
+def cross_validation_regressor(model, X,y):
     
+    r2_score = cross_val_score(model,X,y,scoring='r2')
+    return r2_score.mean()
+
+# cross_validation_regressor(model, x_train,y_train)
+
+
diff --git a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc
index b571b36039256ecb659b19941ead2c342e31d840..d696aaacf2dcaade5daf1d204fcbbfb09427c841 100644
GIT binary patch
delta 57
zcmZ3%xQ~&;n3tEULil*}L=JP+Z2gS<+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsk01zP)qW}N^

delta 35
qcmdnTxPp<xn3tF9rT(I*i5%wqq52v5xvBc;MX8mECHc7%Q=$OCs0+>j

diff --git a/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc
index e065247889afd73fa150bc5ca136b8b2492d5d10..b41c1362a9edbee1d5cce0c310cca930985e5cd0 100644
GIT binary patch
delta 279
zcmZ1^utR{un3tEULil*}MvhaAj8U5}GYT<k3o|e<{7To)$j?pHFG|d<Ow2CIEY8SF
z%(F1l56>^kE-pw+PSsD&Pf69Ee1J`Uvm~<|qkte#QxQlfgb<nR&T_{rioGPYxFj<#
zJxVySxHz?_Bt9`GH@~<fKDDqkF{elzs9ck=2t#WmYmtR0$S7$LArChc$#{?$ACQm)
z;$k)+!NJ7A!ogg`H<_6&mM@AmuQa!yvPcdn5oJHwpIvYB95yyaMybh**|nuW)`B%7
Nxfg7-$mAF7RsemtKFR<9

delta 248
zcmdlXut<Qzn3tEU%yLoGMvhaAjJGylW)xx+6=7gt_!X$1k)NBYpI($&nOKsat3SDr
zU4FAZvmB#<5Ky`Zqy|EWPL5@{V|I(ZB(=CCGcWy?aAI+BYEemiVoq*;aY=k?VQFGc
zkpxh=CSwtX)_m3?3o(#UG9W?;ZYYxRATfR*Aqm9AY(Rp8iGziMxrl$VBwH-!E!Mo!
j+=9v?`OWogmW+(jlXtRfOMz?y>p^lR*hJCE|JbbnQ0_M>

diff --git a/q07_regression_pred/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/__pycache__/__init__.cpython-36.pyc
index 3e7e4674f103511456d5015475ef0cbf23edade2..1d41f19fee7a8218dd632e604f7b7a4f16eab144 100644
GIT binary patch
delta 57
zcmZ3;xSf&1n3tEULil*}L=JP+6#b0++*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt<01NUHhX4Qo

delta 35
qcmdnaxR8;<n3tF9rT(I*i5%wqe)<{txvBc;MX8mECHc7%Q-T4$M+>q5

diff --git a/q07_regression_pred/__pycache__/build.cpython-36.pyc b/q07_regression_pred/__pycache__/build.cpython-36.pyc
index dfa0411c934d2ac90e55ee4d32c73e0e7f34e120..d8af45c117d8cfc5c81582cd2bca0ddaca4d4e76 100644
GIT binary patch
delta 113
zcmbQhxr~$3n3tF9(Zb`=<qJ8P)DrbG@^e%5ixP7y6SIpli!<^P^DNBt!}E)>iwhEy
zQ}vVcQ&ROOJ2J~pwqP>mmSA9DDCPnZ3{0ELn0_<LGlK-gfP@GW4<io<14#}h0VX~s
IE+!rp0CDRX#{d8T

delta 67
zcmZ3+If0YYn3tF9rsbk2)`gr*0^a%=`MIh3=|!oPi6!~D`jZzj%TM-WGUgUzU|=Zb
W0ul_2n|qjkGcqzw?qHE+WCj3p01)f|

diff --git a/q07_regression_pred/build.py b/q07_regression_pred/build.py
index 3f2eee3..bc844fb 100644
--- a/q07_regression_pred/build.py
+++ b/q07_regression_pred/build.py
@@ -1,3 +1,4 @@
+# %load q07_regression_pred/build.py
 
 from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
 
@@ -20,3 +21,14 @@
 
 
 # Write your code below    
+def regression_predictor(model, X, y):
+    
+    y_pred = model.predict(X)
+    mse = mean_squared_error(y, y_pred)
+    mae = mean_absolute_error(y, y_pred)
+    r2 = r2_score(y, y_pred)
+    return y_pred, mse, mae, r2
+
+# regression_predictor(model, x_test, y_test)
+
+
diff --git a/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc
index f1435e528c2d79d16299d3cf5270ab25f34f4b3c..624e1d0bb727d06f5776964f5ddaf8ce2b21f21d 100644
GIT binary patch
delta 57
zcmZ3^xR;T`n3tEULil*}L=JP+Ed7l9+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtP01t>0p8x;=

delta 35
qcmdnXxSWy0n3tF9rT(I*i5%wqA^I8lxvBc;MX8mECHc7%Qz8MtQ47id

diff --git a/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc
index 203c5fffc9b57db56ac2473265e2f03506fa63eb..95935bda1986d1decc9f7720ed53dfefd5d982e4 100644
GIT binary patch
delta 225
zcmca5^FfBgn3tEULil*}Mh;_UwKV;V{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
zRQ=@qlvMr6F+B2{vzS>J8KWlWv;1e2nw-!2lued_fuRV*RGeJRb{N5x+8oDznvqck
zC?hr5fQx;yH|J3{RghwNsL&Y*R}sinn5@K|sUi)Ml>-q9AVLX5sDKDH5TOntG$ya-
eE@q6{tju$pQ9uSHA`c=IK?EOAPJFT|pD6$le>e63

delta 181
zcmew$b4!N9n3tF9rT(I*jU2|z`~mtI`MIh3=|!oPi6!~Dn-iE-7#VL(Ze{t;C_TA=
zO>y!v)+20k3=9lKAnp?cQ)+Vw`)Ni-*~t!^&)C#J3KW1$#mT;0M<HA#pn8SL7TlRC
vG9X!b5TOVnltF|lh)@R+8X!V*@=@+$##@^$d2Tau%YsA{K!nm{dA>jZ?=vjS

diff --git a/q08_linear_model/__pycache__/__init__.cpython-36.pyc b/q08_linear_model/__pycache__/__init__.cpython-36.pyc
index b91b141617b95b635e59b43a1e9967e108638c18..47d323d760c30b26894cc3f8f1055b06296aa350 100644
GIT binary patch
delta 57
zcmbQoxP_6!n3tEULil*}L=JP+ME#8X+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNrp0177)djJ3c

delta 35
qcmdnOIFFITn3tF9rT(I*i5%wq-ufB&xvBc;MX8mECHc7%Qvv|JLJOt<

diff --git a/q08_linear_model/__pycache__/build.cpython-36.pyc b/q08_linear_model/__pycache__/build.cpython-36.pyc
index 438fb9485b4b16efb7c4d78b935df99cb4da3c8f..13ab053703c02056a11f0063650aeb7992f97775 100644
GIT binary patch
delta 420
zcmYk1yGjE=6oz+ZXZDr^uMth7AYK-W1qHDPHj1SnDuRk(*qtPr-E5qh2!UBFQd`JA
zg_VdeVP`)NkkSXRa>ha|&Ijil{{Q^vGnfSaPOTQKlaDL@=HG+Iie*`jt^-~COhZ`G
zl5h+QB!EN`NPBEwqXHLB;TE2N!v5Xcg)h(@mcDd_BfU22fCMBku@lrm34Ve_pw(Cg
zZTr*;o#RVCW;y4r2a+l~BUB-lajKe-ZHGX)ah?vdJ`Y`nbq3}dm{<yDc|ubK2Z{0z
zi6BReWK=tF8dk~;xOSqPQER|x!hECg3<4vx%_YnQ5&Xqsi+c2Z6Ls^9M%rOSdhC{W
z`=r0O8(rkA#|I>)QLJx8<uh6?U*TrGt~K0vSug<epbAz1YrKEK2{@nDLpEbDYcOX}
jHCQk(LN;aa7l$=WYf}8fl5UmP)E^F0x(~}Oyb90{v(ROV

delta 397
zcmY+AJxc>Y5Qg{T_P&y6)L_yHis&^7C^jM%8pO&%3n2*M$gVMxGjVSf1G`wHwz}5J
z&QkmV_BQtW1M(xRoVC(o9)@>jcxPr7f5p*ur4n!KzI0aKqFek}MhG#8Lx}toppZtI
zOo{On*4}SU4O0Yitm%|qc*Zw@2~DJ#4s@s^j-NdfD|+qen3F!{^of`f^!vJWNzYK?
zog|)Rz3zQFv^2{FAQhI#Es2}pm|)8WH(Wd<OuAL1?+^ei8FL%8Q<WacG!sd=*dgm}
z8M=}`>5iq~GIGtaLkZ9cvPqW@ddjj~r7C|#av9|B<JQ$E6Ro}!lT?keR`Eesichjx
zUxI4xo`7&n%A`i-NR`OOdq8LSd>&+3by#p%1Xz}hxPUw07+G`b{{>{jY0mQx>TWRH
PgUP$0*vG{ITf_7Rlh9hU

diff --git a/q08_linear_model/build.py b/q08_linear_model/build.py
index 85d49da..22f94d1 100644
--- a/q08_linear_model/build.py
+++ b/q08_linear_model/build.py
@@ -1,3 +1,4 @@
+# %load q08_linear_model/build.py
 import pandas as pd
 import numpy as np
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
@@ -17,4 +18,14 @@
 
 # Write your code below
     
-    
+def linear_model(x_train, x_test, y_train, y_test):
+
+    G = linear_regression(x_train, y_train)
+    y_pred, rmse, mae, r2 = regression_predictor(G, x_test, y_test)
+    val = cross_validation_regressor(model, x_train, y_train)
+    stats = pd.DataFrame([(val,mae,mse,r2)], columns = ['cross_val','mae','rmse','r2'])
+    return G, y_pred, stats
+
+# linear_model(x_train, x_test, y_train, y_test)
+
+
diff --git a/q08_linear_model/tests/__pycache__/__init__.cpython-36.pyc b/q08_linear_model/tests/__pycache__/__init__.cpython-36.pyc
index 5f231d25458b7d9ddd095d46081a461751daeff2..de7c851b239d68fa481b8446179a881d1c156584 100644
GIT binary patch
delta 57
zcmZ3&xQmg)n3tEULil*}L=JP+bp4F{+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNs!01dqplK=n!

delta 35
qcmdnRxP+0zn3tF9rT(I*i5%wqf%+NwxvBc;MX8mECHc7%Q^EkhObfmM

diff --git a/q08_linear_model/tests/__pycache__/test.cpython-36.pyc b/q08_linear_model/tests/__pycache__/test.cpython-36.pyc
index cbaeda35dafd76d9b3875e0d9e56e950079bc591..767e28052a1a6f7ee96a602d4db23d1528b2feec 100644
GIT binary patch
delta 78
zcmew+*CWqi%*)GFA$&Y~BS##wTC#pder~FMQDSaoVs=qxaYkNZo`soycz#iKaY15o
is(x~QN~->3Szh_gQ<*b48KXA;=MiOMjG8RUp9lc`5E*X(

delta 56
zcmeB?|0c&_%*)H=Yqcn9BS##wfUkZ=er~FMdQoa+Vo83k{^SF^@|#yPXL2&$+APW|
M%EWkUvNnGr0QC+L*#H0l

diff --git a/q09_advanced_model_q01_lasso/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q01_lasso/__pycache__/__init__.cpython-36.pyc
index b8b8fc73c23c3602d2cc8046c670d9178deb30ae..240d92c77db314282892da501b67d9f8e98ecbcb 100644
GIT binary patch
delta 57
zcmZ3*cz}_^n3tEULil*}L=JP+T>Xsv+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsE01;CYs{jB1

delta 35
qcmX@WxQda(n3tF9rT(I*i5%wq;rbc*xvBc;MX8mECHc7%Q(^$YRtweu

diff --git a/q09_advanced_model_q01_lasso/__pycache__/build.cpython-36.pyc b/q09_advanced_model_q01_lasso/__pycache__/build.cpython-36.pyc
index ad763a5d1b8809864ca92cb9383d06dcf0025f16..8b1b5d639ef429609eb9d72c71f160bfb6338fe4 100644
GIT binary patch
delta 348
zcmYk0KTE?v7{>2kk|u3Mw1U`TaVc~$prReb)lJY2LLADGOIzC{7w%G_a2<+sr+f;>
z;-+7~#V>G+-^0nfO<wrH^Ssad=QG#_{&}+*48FgfKDIuCjWGbA1d1@Yfz=9L#L8De
z>CQY=dxc{%febOs2y-Tcxf`^qD@S>%KE^}P_wM>oJ2Wk(H1cD?r5wG`RO5^$8i})r
zh)gCX;>A2&WV!6uglo=4)hW6k!ds1P+Fgzck+2Axtf-r|Xc%Zmmb8>_KpYwMI}4{g
zOF}`jC7p|BIn8N4xC|e;n9G93Nf>jMgw+~%s~^-m)=o;L<cDTd+HC*@uwkkNdr)-V
zPw)fW*)_Iy3z{=3#ZI**@ztKO#J)w#;=rO~VSo6CwvoDaopH8ElN(gEoh~GQm&00=

delta 360
zcmYk0J5R$f5XbE}PLuROc@`+5Oh}n39ug8lNGyyX0aKUCs@(^Qlj;&4MMfQ%JD{vg
zY>X8nAA`*wg$bJpS@)CfXZ`PP9)5+vLA4rAkKa45^MK<zM+oIexg2wclNl){_;8wg
zw<YDjU=^s4yKgS11I)dd^ITR`l~lP;u2EFFI0xUPBcdsb$3v!rBn8Rh(UZ^>U<prU
zH_KTrB3IL1_nyVt1(^v=Boo?!eZV%3H60~fJVrivrq`rjEIF5FG-g?rLe(m7(j9}~
z9b(e3U<}l)rgnPvfneKoKR4}RDn)w$V#4xNwu?Q|D!!fFEohqWHB(u|0O1<0n74v=
zFf>0K<O<hTjn>}SoXj#<E*{+8QNt)$x7e`Qw6JsjcKt)kIPIUvl;6eT6c>xMg~=~Y
CXj&ow

diff --git a/q09_advanced_model_q01_lasso/build.py b/q09_advanced_model_q01_lasso/build.py
index c832d59..77fec51 100644
--- a/q09_advanced_model_q01_lasso/build.py
+++ b/q09_advanced_model_q01_lasso/build.py
@@ -1,3 +1,4 @@
+# %load q09_advanced_model_q01_lasso/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -20,4 +21,15 @@
 
 # Write your solution here
 
+def lasso(x_train, x_test, y_train, y_test,alpha=0.1):
     
+    G = Lasso(alpha = alpha)
+    G.fit(x_train, y_train)
+    val = cross_validation_regressor(G,x_train,y_train)
+    y_pred, mse, mae, r2 = regression_predictor(G, x_test, y_test)
+    stats = pd.DataFrame([(val,mae,r2,np.sqrt(mse))], columns = ['cross_val','mae','r2','rmse'])
+    return G, y_pred, stats
+
+# lasso(x_train, x_test, y_train, y_test)
+
+
diff --git a/q09_advanced_model_q01_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q01_lasso/tests/__pycache__/__init__.cpython-36.pyc
index 80296f75275fe1779be1cb1510cdcbebf24a3c57..580b97b43fd9da72cadaffbb63a6a9784e75daba 100644
GIT binary patch
delta 57
zcmdnMc#M(5n3tEULil*}L=JP+V*QN#+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsc02JvH!vFvP

delta 35
qcmX@cxPg(wn3tF9rT(I*i5%wqvHBVLxvBc;MX8mECHc7%Q<4C~U<>X5

diff --git a/q09_advanced_model_q01_lasso/tests/__pycache__/test.cpython-36.pyc b/q09_advanced_model_q01_lasso/tests/__pycache__/test.cpython-36.pyc
index 3d92981a85fdfdd93eb4850d6b323ecab8bd7161..be1b7b72ad26fadc865297fc82dd5aad186fb9d4 100644
GIT binary patch
delta 200
zcmZoxn5n>F%*)GFA$&Y~BZnumYQBC(er~FMQDSaoVs=qxaYkNZo`soycz#iKaY15o
zs(x~QO6ukWW<6%csLlOsFPIorH&<}7GIDD%FfbIUf(Y%&y*yHr7jfOk5L?E52Tg2}
zyb4H*I*8B&5jr434@BsL2!qXbyvG^EqFD1va|<eql!0PVYz2vVDT&2JYLlh;r!cBc
I-oPIW0I{qz8UO$Q

delta 213
zcmbQK(5%2=%*)I5Qh!m@Mh;JAfk^#~{M=Oi^rF<t#FG46{mF)W@|&kI^D%SYV$VxS
zEGkN@oIIahX7fq5BTS5HoBKFf8M(C?7#NDwK!ncZh3rz3cW~Xu5Zl9j2SaQxPldcH
zNSg+T&;k*<AVMER7=Q@F%^|$U8O3g~=9T6aR2C@%#iG~>5`hjWE>fRt$UlV}Y^@+j
Pt@z}L9Kw?y^P2$xX@xgN

diff --git a/q09_advanced_model_q02_ridge/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q02_ridge/__pycache__/__init__.cpython-36.pyc
index 222893d6c4bc0f716c4fdbff600e66340545b3cd..60aedf7349109ef3c4c3c5a65c36f9b80b3bd3b8 100644
GIT binary patch
delta 57
zcmZ3*cz}_^n3tEULil*}L=JP+T>Xsv+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsE01;CYs{jB1

delta 35
qcmX@WxQda(n3tF9rT(I*i5%wq;rbc*xvBc;MX8mECHc7%Q(^$YRtweu

diff --git a/q09_advanced_model_q02_ridge/__pycache__/build.cpython-36.pyc b/q09_advanced_model_q02_ridge/__pycache__/build.cpython-36.pyc
index 29083a5660093320a13d952ea9eeaf0c4458cabd..5352fe7b0b3d0c039d0d885b98e6d7cd7de67c0c 100644
GIT binary patch
delta 369
zcmYk1yGjE=6ozMZ_MVG~QG^(SO(2a63Th!X7J`MK5rnk}!_MToH_jwNWJQ9t)jox#
zSo#81R#wya0KS2hGo2jx;Q#s0?cM+Kz5QCvKmYu={dx5m#*;F|r;mkK_%nOr6z&rq
zm_y7=W-*&NLzB7B#zUpB3a6+HNDp<ri)(NZLR}&)8s{S_y)=V_#^ZY)R)MB0OZs9)
zXFT*G$b{(M(O8m%a%sR`XhI@*7fUC~;(3yat_wCI2!-XYaoNLXlIXa-=;y#$NK_cA
zY8%uPq^0MI7X(eEekZ{wOLzb@S<oqr#VDoe(Lr#N!Bpfl;z5)#9+XScF29Y=wzOc(
zhI~`C3Oy1TbzD`|z#R;&w;ghY>#NF^cCMbF0#?eU86B=E3mO{h8XFod4SmBuY$++-
Q<0NDAn4cJB(`sY$5Bm^g9{>OV

delta 347
zcmYk1Jxjx25XW;*UYevyEvWbsu}+0d1-q3Zh@Ze05W0lW=P_2Aq+C+5kWS7{*~Cd)
z9L3SE;q-umU&6u3dpgN+Ke+#K_rLpeKU}Bp`|iu&d9-|UH~_CRIO&$wO{22!p>ish
z8&3u|6X4bZTQ)1RYE;cD{agzh^%n#~>0zAlJdKJnE=6caa~$2qQ)ysY2&t#BkPHtI
zG))UZnv;x+yU<39YFYQ$>9L6uo(S}nU@f8<3O>?l7S~9@wvtV?yLi=bpQ_)B-gTae
zUV>r~mwDQ&zx7W2!@7GIP<xZI@CX{Tz@ylJ1Hj;Ypr1iYHKjG9gX03%>qldJxkVCg
qE9@xjDyTgxuYc%}ChcLG^Z8U9sdoxB<*`+ej}0~>KW4KwYq39_K2d1^

diff --git a/q09_advanced_model_q02_ridge/build.py b/q09_advanced_model_q02_ridge/build.py
index 0fb3e1a..14ee6e0 100644
--- a/q09_advanced_model_q02_ridge/build.py
+++ b/q09_advanced_model_q02_ridge/build.py
@@ -1,3 +1,4 @@
+# %load q09_advanced_model_q02_ridge/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -20,6 +21,16 @@
 
 # Write your code below
    
-
+def ridge(x_train, x_test, y_train, y_test,alpha=0.1):
+    
+    G = Ridge(alpha = alpha, normalize= True, random_state=9)
+    G.fit(x_train, y_train)
+    val = cross_validation_regressor(G,x_train,y_train)
+    y_pred, mse, mae, r2 = regression_predictor(G, x_test, y_test)
+    stats = pd.DataFrame([(val,mae,r2,np.sqrt(mse))], columns = ['cross_val','mae','r2','rmse'])
+    return G, y_pred, stats
     
+# ridge(x_train, x_test, y_train, y_test,alpha=0.1)
+
+
 
diff --git a/q09_advanced_model_q02_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q09_advanced_model_q02_ridge/tests/__pycache__/__init__.cpython-36.pyc
index 602e1f5d5c4f60e2bd8813680dc29fba2e27d856..cdef0de364231a417488cf62822833d41c492b21 100644
GIT binary patch
delta 57
zcmdnMc#M(5n3tEULil*}L=JP+V*QN#+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNsc02JvH!vFvP

delta 35
qcmX@cxPg(wn3tF9rT(I*i5%wqvHBVLxvBc;MX8mECHc7%Q<4C~U<>X5

diff --git a/q09_advanced_model_q02_ridge/tests/__pycache__/test.cpython-36.pyc b/q09_advanced_model_q02_ridge/tests/__pycache__/test.cpython-36.pyc
index 37f31c3afe884d721a91308abc3e21f01dc3af87..603ba9ecb9fa9de8b44c101ad274536f522f3050 100644
GIT binary patch
delta 208
zcmaDa->Sf2%*)GFA$&Y~BZnumYQBC(er~FMQDSaoVs=qxaYkNZo`soycz#iKaY15o
zs(x~QO6ukWW+`UIsLj=EFPIorH>Ys2GIDD%FfbIUf(Y%&2^><B`?&67h)v?YgCRDV
zr$Sx@q)i<}Xo3hG5TOSm^g)Ed<c0j=n;m&KFp5R7=9T6aR2C@%#iQ5?67y0Li;L7I
Ov-3}3RGmDBKNtW{KQ+n#

delta 192
zcmZowcrVXk%*)I5Qh!m@Mh;JAfk^#~{M=Oi^rF<t#FG46{mJY2<Tp=a{>8+2Yx6|5
z7fg(5o2xik8M(C?7#NDwK!ncZejcgGOStZ1h^^qhgC;gfUKON814L+n2wf1N4<Zae
ygyCif-s6m7w^;K^a|<eql!0PVYz2vVDT&2J>XT*pr?7#o6rAk9D?a%gzc~Q?vN6j5

diff --git a/q10_data_missing_values/__pycache__/__init__.cpython-36.pyc b/q10_data_missing_values/__pycache__/__init__.cpython-36.pyc
index 9f50df257f7dadafbe3ce884c55c000ecc154d68..3f4c741a47c2dd333dba6ae87e587e46493a296f 100644
GIT binary patch
delta 57
zcmZ3=xSNr~n3tEULil*}L=JP+4E>D!+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNuK01j3YmjD0&

delta 35
qcmdnZxRjB@n3tF9rT(I*i5%wqLHZf_xvBc;MX8mECHc7%Q^EniqYJ_S

diff --git a/q10_data_missing_values/__pycache__/build.cpython-36.pyc b/q10_data_missing_values/__pycache__/build.cpython-36.pyc
index 5c075f43b94e582040d94a38ff22b71e81107625..5e9f8f87792f07861ba4588c43d9c31988c179da 100644
GIT binary patch
delta 281
zcmeBYKgFhO%*)F)?cRy#BTNhoj~S2v3y|#q#KlDul?&NYSb`ZeIVWC-uw@2{0o5`%
zgXCm@L=8h0Lo-7yBamh+Vaj4|W~^nZVXR?FV*+Yn^wVUy#gUR)oLrQdlo~ZTmQm7?
z`4)Rcd`VGaW?m5+P=65zkXXr3#08{&rRrzo=ceixCFWKpW*21^XXGX3S(xdE=NDxc
z7bGU9>L=%?q)wj5=qJVxR9+0y&%nsR$irB~17v9mO%`PO$;%F8-eO8gE8+w)CQCC*
iX@Dfb79bJaAXOYTx%nxjIjMFaFBJ<-E?^d6WB~w1xjh#E

delta 392
zcmaJ+F-yZh6ux(j$ypQ8v<gDep;HD8RNRUvI_uz4f>2U()fCgzO9Uf=!|h7R=ICVq
zia+62XMccBzKaN*e8=~_ci+AHc<<eOw%WUnQ|}+Y22Yfb4>A`9)(42}ZQ8!+@>T9g
zIH!RdG<cJ*aaRIzLxQA0P{F&-(c*8`FF+#WjCl3wOK%U*sfIYxj!mQoG9pql<aAV%
zFr?TDC!V2L#Ip+#54b9Q*l2-*-i(MP{PTV4U!@86F9k2cJWc%akZzST*y-5X7B?US
zgoAv)x&3c=>*XhWJu+-nG#V=FuAhrA9xD?Ip5@9a{sb&gs9Y6<3I=LnBI0qbjJ%le
lYOXobgDBQb(&+Y@@9V9z7LpD6unLT>z%pfq4W^3{gC7+MR|)_C

diff --git a/q10_data_missing_values/build.py b/q10_data_missing_values/build.py
index 582edbb..d84b74d 100644
--- a/q10_data_missing_values/build.py
+++ b/q10_data_missing_values/build.py
@@ -1,3 +1,4 @@
+# %load q10_data_missing_values/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
@@ -11,3 +12,11 @@
 
 # Write your code below
     
+def describe_df(x_train):
+    describe = x_train.describe()
+    value_counts = x_train.apply(pd.value_counts)
+    return describe, value_counts
+
+# describe_df(x_train)
+
+
diff --git a/q10_data_missing_values/tests/__pycache__/__init__.cpython-36.pyc b/q10_data_missing_values/tests/__pycache__/__init__.cpython-36.pyc
index 2fdd38ba92c3ca5f1d29fa65d48fd61e792f83c8..653358f4d03d717caf34856ad495fab398d1a4f4 100644
GIT binary patch
delta 57
zcmZ3@c#x69n3tEULil*}L=JP+JpGLP+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtv01@mHuK)l5

delta 35
qcmX@exSEl}n3tF9rT(I*i5%wq5&9YVxvBc;MX8mECHc7%Q(^(Ztqa-!

diff --git a/q10_data_missing_values/tests/__pycache__/test.cpython-36.pyc b/q10_data_missing_values/tests/__pycache__/test.cpython-36.pyc
index 17019265bc29ee0e0ca9f98bf98dfee0d9486c8d..0f864dd899d6851d8608dc0ad6e75272352134f8 100644
GIT binary patch
delta 66
zcmdlcbVi87n3tEULil*}Mve?7)hzvt{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
WRQ=@ql+?}jOag3-QIjWdECT@99Tso^

delta 49
zcmX>jv`vV^n3tEU&t*~6Mve?7fe`(S{M=Oi^rF<t#FG46{mFOO<u`9-`oPL~Yw|LV
FWdM)Y5w8FM

diff --git a/q11_feature_selection_q01_plot_corr/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/__pycache__/__init__.cpython-36.pyc
index 35c8cae903f3144112ac43723fc1b6346aa0fe84..21a864e55dc5dc80f7d22205da4ff0973d0562c0 100644
GIT binary patch
delta 57
zcmdnUc$|^Ln3tEULil*}L=JP+68(()+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNt{02P80#{d8T

delta 35
qcmX@kxRH^=n3tF9rT(I*i5%wqarzngxvBc;MX8mECHc7%Q<4G0w+r$B

diff --git a/q11_feature_selection_q01_plot_corr/__pycache__/build.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/__pycache__/build.cpython-36.pyc
index 35748ec9368f7249043702f94546923c07c4c418..9555a6b7b5ad3cc76b74b63d172d0790d0cd075d 100644
GIT binary patch
delta 393
zcmZ9GF-yZh6vyvfE@@0#5Uo^D5ba{741zdFzkv!WsL|!frESur7cVDTNpZ;J&?$qT
z!BL#tTm?TtHphMhoxEledGOx<{r-R6-JAJoT070A_4N30`E9&d9e5B3A&ElBRP``}
zDO}+Ro@f~gagHWLc^bn^n*yLr3rR+Dr4-erA!`{4%^Y%=PezzN)hch{zn9~RTR8&6
z&<V1QLmS*$FX;Bu;NEwQi|9xkGsTD((`4qVU#Z0uTv8eEkzFsfB$9$CUJ{QBA#^3(
z;tRG;1)fWi4*0FDmxNJCOH!THdO_dC^iDKX;u(o0HGZz00gru0(0ELTB1i`#I@;TH
z&bSz+3H5x(<IFD(@cG)dil>XJA>0BJ8eqXXtSTj1#XH`xTq7AL5tpL=I>Rf_X{luO
W#-FyVSZVIZoZUozS1UG28`{5H9bvox

delta 418
zcmZ8byH3L}6!mqS)=kr@JcSAqOj+nqF@cymF@OXM6b1rL+eAqnx#m%niXn5S{s9{!
zV&Wf|82tzE35WqZ3?O9ro_o%@y63*q7wWWYHRrAK&{g)6vjO+l2%!u`C`S`4A=9si
z8BE~}Ppk=%nBg1%WhAn)qLW10vXtSdoI?%<nZ?M|0wn3Lu36>(T#mKsMAaMtV(18Y
z_Pz&Os@x0vqwp?JrIYwT9J2SWzQ_Yb1(&`I`OtF}x#U6!q77l|qGlhkzNhR|ghMH?
zQLHqUii`&Q#<LY+zVtQITSdKab%w(J?IRLR%|B0D1D*t}z6i#?<jL$DA9q%@F>2_7
zfWo}~4m6<-%OKXY=7FdfSWt6`FVmRIIK0?Q$EH)I9~6tvUw8?&&3uvbr<m=E?j)RD
W#lfyQxyW*01zgJ|E~dBv_3Agsre@~=

diff --git a/q11_feature_selection_q01_plot_corr/build.py b/q11_feature_selection_q01_plot_corr/build.py
index 0427922..b9e1505 100644
--- a/q11_feature_selection_q01_plot_corr/build.py
+++ b/q11_feature_selection_q01_plot_corr/build.py
@@ -1,3 +1,4 @@
+# %load q11_feature_selection_q01_plot_corr/build.py
 
 import matplotlib.pyplot as plt
 from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
@@ -17,10 +18,36 @@
 
 
 # =============================================================================
-# To visualise data, you need to pass training data only as the assumption holds that test set is unknown data and obviously,you cant not make decision based on unseen data :-p
+# To visualise data, you need to pass training data only as the assumption holds
+# that test set is unknown data and obviously,you cant not make decision based
+# on unseen data :-p
 
-#Remember to concatenate training features and labels if you want to check that scatterplots which I would prefer.You are free to explore labels to labels, features to features ,etc scatterplots as you want by passing arguments
-#============================================================================
-#visualise_data(pd.concat([x_train,y_train],axis=1),"../images/data_image.png")
+# Remember to concatenate training features and labels if you want to check that
+# scatterplots which I would prefer.You are free to explore labels to labels,
+# features to features ,etc scatterplots as you want by passing arguments
+#=============================================================================
+#visualise_data(pd.concat([x_train,y_train],axis=1),'../images/data_image.png')
 
 # Write your solution here:
+# def plot_corr(data,size=11):
+#     import seaborn as sns
+
+#     fig,ax = plt.subplots(figsize=(size,size))
+#     corr = data.corr()
+#     sns.heatmap(corr,cmap='YlOrRd')
+#     plt.show()
+
+def plot_corr(data, size=11):
+    
+    fig, ax = plt.subplots(figsize=(size, size))
+    corr = data.corr()
+    plt.set_cmap(cmap='YlOrRd')
+    ax.matshow(corr)
+    plt.xticks(range(len(corr.columns)), corr.columns, rotation=90);
+    plt.yticks(range(len(corr.columns)), corr.columns);
+    plt.show()
+    return
+    
+# plot_corr(df,size=11)
+
+
diff --git a/q11_feature_selection_q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index 6c1c50906ae58c0e40cda01d8a521348eecd4898..5c6ab407bf0f0c041408821a2950ffec089b3992 100644
GIT binary patch
delta 57
zcmdnac$SgFn3tEULil*}L=JP+D*cT7+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtX02vq)-v9sr

delta 35
qcmX@hxSf&1n3tF9rT(I*i5%wqDf$`txvBc;MX8mECHc7%Q!)X?!3+uj

diff --git a/q11_feature_selection_q01_plot_corr/tests/__pycache__/test.cpython-36.pyc b/q11_feature_selection_q01_plot_corr/tests/__pycache__/test.cpython-36.pyc
index 93b5347767868d7c98b1b5816f63e3fa98466c9c..24604f53f433952d618e84782d8c1c6952e7b425 100644
GIT binary patch
delta 72
zcmcb>{fwK#n3tEULil*}Mvf3BwKDyT{M=OiqQu<F#O$KX;*7k+JPR}Z@cg3e;)2BF
cRQ=@qlvMr63t8khcQZX?WQ^LJ%aY6p0Cpl6qyPW_

delta 45
zcmaFHeSw?9n3tF9rT(I*jT|9N{0aIQ`MIh3=|!oPi6!~Dn;V%JnHX<vZe~el1OQZr
B4&ML(

diff --git a/q11_feature_selection_q02_best_k_features/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/__pycache__/__init__.cpython-36.pyc
index cce1771df2aeb4fe480a861dd0b34c2812778bf4..6563a1880213da157fb58a19be9a7eaa7d307bf7 100644
GIT binary patch
delta 57
zcmdnac$SgFn3tEULil*}L=JP+D*cT7+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtX02vq)-v9sr

delta 35
qcmX@hxSf&1n3tF9rT(I*i5%wqDf$`txvBc;MX8mECHc7%Q!)X?!3+uj

diff --git a/q11_feature_selection_q02_best_k_features/__pycache__/build.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/__pycache__/build.cpython-36.pyc
index b0c88c740ec407a51b8c32a0e223d58ea3040313..4c5cd1198404af9d8ded2eef2ae7b10f9cdb6795 100644
GIT binary patch
delta 674
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zoC#qrC<Rq8Z8L{?%m);jpb8o3qcvVFqbj;YgW$yg)0X5a<)z7TPQwvT%v^Cz{mWFq
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nZO&mzTpQKf0GLz*j+*P{OaG+@4Iw-)1e@plsZ-zhkFfIxUfIrD

delta 945
zcmah{J8u&~5Z>K;`V}R-gn=|jC^`i>K~P$zfr2JY5Q<J9Yjd}D&c3@ncGpoH*>d5a
zI0X{O9VHzl;tx>s6Sk(|FNB6!I{^wL?liMAvoo{bezRXIUuva?wOaY+(~sfz&!rqs
zN(dnb!~&7;Kq)k~6dqY4G9_bsWcSDnjWF1bvcR*a_zWvYxyqa2Dg39ngJT?%6F;_M
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zh^Ddy#<JphK(y6oL+uH6$b@7+49wq{4PF~$f%yg)UBLWmWsHFXV789llh^iS7cJld
zdN1PXAj>6mC5>%SfeLf6y~Vz$fqPzVrioM$&x+PM_|hEVqT}GdfG?|p6=4Q0Okr5-
zBx=%Dg66WrMW$`jJoJ_%wt-D96pOV330<bGl;zry2ee?C<b`(WGVY|j`(Qiti$j_Y
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m*De@LD(wv~17JX4arSbY=866ptoEBg(I90lGXLP*!}u4PJO)|-

diff --git a/q11_feature_selection_q02_best_k_features/build.py b/q11_feature_selection_q02_best_k_features/build.py
index 95002c5..37651c0 100644
--- a/q11_feature_selection_q02_best_k_features/build.py
+++ b/q11_feature_selection_q02_best_k_features/build.py
@@ -1,3 +1,4 @@
+# %load q11_feature_selection_q02_best_k_features/build.py
 # Default imports
 from sklearn.feature_selection import SelectPercentile
 from sklearn.feature_selection import f_regression
@@ -20,8 +21,18 @@
 
 np.random.seed(9)
 # Write your code below
-    
-
 
+def percentile_k_features(x_train, y_train, k=50):
+    selector = SelectPercentile(f_regression,percentile=k)
+    selector.fit_transform(x_train, y_train)
+    scores = selector.scores_[selector.get_support()]
+    features = x_train.columns.values[selector.get_support()]
+    features_scores_list = list(zip(features,scores))
+    df = pd.DataFrame(features_scores_list, columns=['Features','Scores'])
+    sorted_list = df.sort_values('Scores',ascending=False)
+    top_k_predictors = list(sorted_list['Features'])
+    return top_k_predictors
+
+# percentile_k_features(x_train, y_train, k=50)
 
 
diff --git a/q11_feature_selection_q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc
index 3a1830b270d6d769e5565023aecb9be5259bd743..13e3cf99b52e1ee0aefc61c802fa204ec3824c5b 100644
GIT binary patch
delta 57
zcmdnXc$tyIn3tEULil*}L=JP+2K|iu+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNui035Cp_W%F@

delta 35
qcmcc2xR;T`n3tF9rT(I*i5%wqS^63IxvBc;MX8mECHc7%Q}O}F%M2m_

diff --git a/q11_feature_selection_q02_best_k_features/tests/__pycache__/test.cpython-36.pyc b/q11_feature_selection_q02_best_k_features/tests/__pycache__/test.cpython-36.pyc
index 7c11282368a691d1031e0ef3e349d85d1d4b9116..276e402fbc3a5d86bb5c80a84bb06c3cda1712f5 100644
GIT binary patch
delta 85
zcmZ1@a!7>3n3tEULil*}Mvk>iYBl;9`MIh3MTxnUiP=S&#Tj{tc@}2+;rT_`#RZAU
psrt$JDXIFC{W;|~KVf>x%ow%#6q^Ghqw;2MjwVLNsL6et^8nZB9IF5T

delta 63
zcmV-F0Kosk6s!~oGYt(2=`W&Mu?VdK5N0oEZ*65SXL4nEVRUb8FO!Z4AG7)b<pTlQ
Vv)~3m0RbelAqav20os$K37)sh7FPfO

diff --git a/q12_feature_selection/__pycache__/__init__.cpython-36.pyc b/q12_feature_selection/__pycache__/__init__.cpython-36.pyc
index 886fe32a654f75efb74de32eefce46b1759dcd99..cb7e565a4ab58c9fee73fd87876e89521d713a61 100644
GIT binary patch
delta 57
zcmZ3?xRa5?n3tEULil*}L=JP+H2sYH+*JLd#N5in?4r!#jJ(7=3p4%j{G#mQg2d!h
M{p9?V)QNtf01YG)j{pDw

delta 35
qcmdnVxR{Z{n3tF9rT(I*i5%wq0s0yFxvBc;MX8mECHc7%Q$hj0^$WTH

diff --git a/q12_feature_selection/__pycache__/build.cpython-36.pyc b/q12_feature_selection/__pycache__/build.cpython-36.pyc
index 7c97eeb95ec157d7f2aaeafb7f302dd15b650ec6..86542aa2cb104b051a6de16671c975b74f415b93 100644
GIT binary patch
delta 222
zcmaFNK7)hPn3tC;gYi`KrH!0QjP()>3=Aa<H4M#+j0`1=H4HV3HB8OSwahil!3>&=
zews{0Y(N!7tUyAO<raHId`VGaX5KCKN+^RdJ4&D^HKjB;H6=bRHL;|$D7APcLlHMn
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C@;CJW

delta 150
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diff --git a/q12_feature_selection/build.py b/q12_feature_selection/build.py
index 1bbe2b2..bf88c03 100644
--- a/q12_feature_selection/build.py
+++ b/q12_feature_selection/build.py
@@ -1,3 +1,4 @@
+# %load q12_feature_selection/build.py
 # import matplotlib.pyplot as plt
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -16,3 +17,12 @@
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
+
+def feature_selection(x_train, y_train, k=50):
+    plot_corr(x_train)
+    reduced_features = percentile_k_features(x_train,y_train,k)
+    return reduced_features
+
+# feature_selection(x_train, y_train, k=50)
+
+
diff --git a/q12_feature_selection/tests/__pycache__/__init__.cpython-36.pyc b/q12_feature_selection/tests/__pycache__/__init__.cpython-36.pyc
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delta 90
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delta 35
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diff --git a/q13_plot_residuals/build.py b/q13_plot_residuals/build.py
index 9cdb3e3..e25947e 100644
--- a/q13_plot_residuals/build.py
+++ b/q13_plot_residuals/build.py
@@ -1,5 +1,39 @@
+# %load q13_plot_residuals/build.py
 
+from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data  
+from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
+from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
+from greyatomlib.multivariate_regression_project.q07_regression_pred.build import regression_predictor
+from sklearn.linear_model import Ridge
+import numpy as np
+import pandas as pd
 
-import matplotlib.pyplot as plt
+from matplotlib import pyplot as plt
+
+from greyatomlib.multivariate_regression_project.q06_cross_validation.build import cross_validation_regressor
+np.random.seed(9)
+
+df = load_data('data/student-mat.csv')
+
+x_train, x_test, y_train, y_test =  split_dataset(df)
+
+x_train,x_test = label_encode(x_train,x_test)
+
+l2=Ridge(alpha=0.01)
+
+l2.fit(x_train,y_train)
 
 # Write your code below
+
+def plot_residuals(model, x_test, y_test):
+    y_pred, mse, mae, r2 = regression_predictor(model, x_test, y_test)
+    error_residuals=y_test-y_pred
+    plt.scatter(y_test,error_residuals)
+    plt.title('Residual Plot')
+    plt.xlabel('SalePrice')
+    plt.ylabel('Errors')
+    plt.show()
+    
+# plot_residuals(l2, x_test, y_test)
+
+
diff --git a/q13_plot_residuals/tests/__pycache__/__init__.cpython-36.pyc b/q13_plot_residuals/tests/__pycache__/__init__.cpython-36.pyc
index 3aa40f003ac9ed7ca53d9580f2b40524a62da90c..de5efcf9b1617e546afc620b54528c029ec48e8f 100644
GIT binary patch
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delta 35
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diff --git a/q13_plot_residuals/tests/__pycache__/test.cpython-36.pyc b/q13_plot_residuals/tests/__pycache__/test.cpython-36.pyc
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diff --git a/q14_benchmarking/build.py b/q14_benchmarking/build.py
index 4a4557b..62e1fcf 100644
--- a/q14_benchmarking/build.py
+++ b/q14_benchmarking/build.py
@@ -1,3 +1,4 @@
+# %load q14_benchmarking/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -26,5 +27,22 @@
 
 
 # Write your code below
+def create_stats(x_train, x_test, y_train, y_test):
+    
+    l1,y_pred_l1,lasso_stats = lasso(x_train, x_test, y_train, y_test, alpha=0.1)
+    l2,y_pred_l2,ridge_stats = ridge(x_train, x_test, y_train, y_test, alpha=0.1)
+    
+    features= feature_selection(x_train, y_train, k=50)
+    x_trainft=x_train[features].copy()
+    x_testft=x_test[features].copy()
+    
+    l1ft,y_pred_l1ft,lasso_statsft = lasso(x_trainft, x_testft, y_train, y_test, alpha=0.1)
+    l2ft,y_pred_l2ft,ridge_statsft = ridge(x_trainft, x_testft, y_train, y_test, alpha=0.1)
+    
+    complete_stats = pd.concat([lasso_stats,lasso_statsft,ridge_stats,ridge_statsft])
+    
+    return complete_stats
+
+# create_stats(x_train, x_test, y_train, y_test)
 
 
diff --git a/q14_benchmarking/tests/__pycache__/__init__.cpython-36.pyc b/q14_benchmarking/tests/__pycache__/__init__.cpython-36.pyc
index defa63dc0453c646fc0d879d36fc778a5d140e09..51a88705729b8e9e356dd34771f9af47ab731325 100644
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delta 57
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delta 35
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delta 82
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diff --git a/q15_select_best_model/__pycache__/build.cpython-36.pyc b/q15_select_best_model/__pycache__/build.cpython-36.pyc
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diff --git a/q15_select_best_model/build.py b/q15_select_best_model/build.py
index d0ce1ba..6080fc8 100644
--- a/q15_select_best_model/build.py
+++ b/q15_select_best_model/build.py
@@ -1,3 +1,4 @@
+# %load q15_select_best_model/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
@@ -21,3 +22,18 @@
 
 
 # Write your code below
+def complete_build(x_train, x_test, y_train, y_test):
+    
+    category_index = [x for x in range(len(x_train.columns)) if x_train[x_train.columns[x]].dtype == 'object']
+    x_train_t,x_test_t=ohe_encode(x_train, x_test,category_index)
+    train=pd.DataFrame(x_train_t)
+    test=pd.DataFrame(x_test_t)
+    train.columns=x_train.columns.values
+    test.columns=x_test.columns.values
+    complete_stats1 = create_stats(x_train, x_test, y_train, y_test)
+    complete_stats = create_stats(train, test, y_train, y_test)
+    return pd.concat([complete_stats1,complete_stats],axis=0)
+
+# complete_build(x_train, x_test, y_train, y_test)
+
+
diff --git a/q15_select_best_model/tests/__pycache__/__init__.cpython-36.pyc b/q15_select_best_model/tests/__pycache__/__init__.cpython-36.pyc
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