From bd299f6c629bd8c557c357463886d19fc459ab5e Mon Sep 17 00:00:00 2001
From: brijesh-upadhyay <brijesh_upadhyay@ymail.com>
Date: Tue, 27 Feb 2018 14:10:03 +0000
Subject: [PATCH 1/2] Done

---
 __init__.pyc                                  | Bin 163 -> 158 bytes
 q01_grid_search/__init__.pyc                  | Bin 179 -> 174 bytes
 q01_grid_search/build.py                      |  12 ++++++++++--
 q01_grid_search/build.pyc                     | Bin 1255 -> 1591 bytes
 q01_grid_search/tests/__init__.pyc            | Bin 180 -> 180 bytes
 .../tests/test_q01_grid_search.pyc            | Bin 5647 -> 5648 bytes
 6 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 9f1c57445897b3116333dad6788bdb6dff96583b..dfb667a8630a4012bd73599b66c5cc427d4bfd7b 100644
GIT binary patch
delta 114
zcmZ3?IFFHo`7<w<am3W9i5#Yh?hFhJ`WgATsrpGpnOUjD8M>tfi76SCiIw`{`9;~q
z1&PV2`pNkzsrp5Uc`5n1@oD)*sl_Gn1x5K;smUe!@$s2?nI-Y@dIgmw96+;da`RJ4
Ob5iXXf$U-+W&i-0L?q7u

delta 89
zcmbQoxR{ZH`7<w9ndyhfi5#Y`J`4;D&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
msg;Q(`MEI#Mfq8&$t5vGiFqmcx$$ZFMXALl@i5VewTb|3Kp`&x

diff --git a/q01_grid_search/__init__.pyc b/q01_grid_search/__init__.pyc
index 545de0a6bf4229ec79e9955abcfa9b3f3910c30c..487549ef30d41db1e9736b21360160e86904f5a8 100644
GIT binary patch
delta 130
zcmWN}F%AMD5I|8jHpIlE=xB_c@fvGvCJ3Xj$__iQ1;?=P8a5uy3rO*kSN(7I>Ga~a
zTJF#9%S#`oUMU5hBf(X|K-sV7WSp<2LeKKZ$yfr*jzG-lIO2_ka=|1#kS#E6cX*fJ
cFq0AM0WplBAZ}7Ey1kE)-Tb6e*PL7G4|9bo>Hq)$

delta 105
zcmZ3-xS5fI`7<w9NY|Oji5#Y(F$@e0&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
zsg;Q(`MEI#Mfq8&$t5vGiFqmcx$$ZFMXALl@i5Us1H<_AqRf=|;?%^V<cye!y@~+N
CZzq-j

diff --git a/q01_grid_search/build.py b/q01_grid_search/build.py
index 1438657..627d713 100644
--- a/q01_grid_search/build.py
+++ b/q01_grid_search/build.py
@@ -1,3 +1,4 @@
+# %load q01_grid_search/build.py
 # Default imports
 
 import warnings
@@ -6,6 +7,8 @@
 from sklearn.model_selection import train_test_split
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.model_selection import GridSearchCV
+from sklearn.metrics import r2_score
+import numpy as np
 
 loan_data = pd.read_csv('data/loan_prediction.csv')
 X_bal = loan_data.iloc[:, :-1]
@@ -16,9 +19,14 @@
               "n_estimators": [10, 50, 120],
               "max_depth": [40, 20, 10],
               "max_leaf_nodes": [5, 10, 2]}
+classifier = RandomForestClassifier(random_state=9,oob_score=True)
 
-
-# Write your solution here :
+def grid_search(X_train, y_train, classifier,param_grid,cv=3):
 
 
+    grid_search = GridSearchCV(estimator=classifier, param_grid=param_grid,cv=3)
+    grid_search.fit(X_train,y_train)
+    y_prediction = grid_search.predict(X_test)
+    return grid_search, tuple(grid_search.cv_results_['params']), grid_search.cv_results_['mean_test_score']
 
+#grid_search(X_train, y_train, classifier, param_grid)
diff --git a/q01_grid_search/build.pyc b/q01_grid_search/build.pyc
index 44702324910e121384c8ce7cd04e864d0d40ac9c..ed9170152c911d07c386b2bafb2e075df2e6f2d1 100644
GIT binary patch
literal 1591
zcmcIj&5j#I5U!c=*t=fudXxQi7Kp?JUs%H)azY8xN+5BF#3X`fKpM5D+jcuWKk05S
zYvi1kJVM?jFTzuB<N=_nX4W8aW<1lbs;|21@9XH#{r;_bpXSg$J^cR~Klfb#An^^r
z0Hgp4U>Sf6;Vyun1wu$8c8b7spok%j8>|DS3q=poUZcm1??AfK=v^?oQ1l_~Z_nC;
zbO0)X<vz$B1xXJ;9l&x(Dd77qWC2K+g)mAF{{uq<JOCAgLihp59gw>q`ylt=E)0L}
zK>85UBS?=SJptVTIRJ?P4`7ak4B?491c}=ovVMg6F~}1@E8(Z8pOGTZSs%fZ^b}OD
z4Im$ZI)gh1({qp)AU}fNu!<3-{bKwv_Ei6c&vV};ab8wdjj_kz4{5PNmzh`2XRbEd
zH^?a>i6~`Ne1qQ3UmM|^o@r$pe1Q13R?8Pk*nDyQLu1`RtG&uxPJ7N#k;03KsYIF8
zR!N<EU6q%)yYagSHZk?DYX11$AK!oY<o9Quj<p;%b6$9**{_3E_r`kc8t$USRP!r#
zF2rp%Q^Kz>pzb50uV}d?M>?#`FnL`FUs<Qe1RWDZ$I@1*YQNAi*+a4)w05J!EGsLC
zo5{7RrcF^gLM<nMVk>>u__?2O@yyr_awUWfjtt)pjwE^;!zLyIZvZv{asdL;L+}xC
z?QNG}EQ*XV$QVXwZIv#JW)Y5%0zKzUw$*qlwiZ?t*&OHKDgFG0^W!ly<opoLg~I+f
z&8ESOi3JH2f*BxjwfA&>J0RZtirqcc=~uN;eh;PmCc`GLjCUC)#JkXw_`~wLl_|4)
z%a?>wNSJAK3MHF4W(^N${V!(Fe1I4C5~azaD%50Z^-{UT=c`)C#agT<KUVg&t3|FR
zISy#j(q+ap#lxzl%KhZc7hiH;+EA0}N*j4uuagTrn3(B^s}NlThruuyKSJ4)<riT~
zUCtddVWy2&c59-()ksd^xZAb#XJ~P+ku0{nEHD{^;S7dHmM7Z_cJH7{r;4dj35}}h
zKegr_E|j-AcL{TxI$y4edd-o_nsc*C$n5^|@TH>b#rHv*D(7*%%BI4wv?eK`Qj-%}
zM!4{BaZJb}9t-b%X;&(t25@iwnZf@%2(IWWY}(4Gr+mRb#S{j?elWn1G`~SO3?2ug
N@U!5EEl0sg_&4zQXa4{I

delta 648
zcma)1!EVz)6rA<iY3kZZ+Jv?yl|bS^E>v)-I3R?C1ov<$RwOI<ZHl8HAl_7}WYk08
ziiG?Jd;nKY@H<GHkoW;+-6D{<;Psn*Gw<!bozKy?&7uAohaW%vc$(w#+u;6yQ6?XT
z$LB_4z6ohzt&oN=A?8~U<^FeGlfWf24@nyRQ^rLhh6!L;jv*V6HiTD(SbN^YN7_N!
zMcPBUjlzfU`Un!^L_<1{aU@+x53=0|JLG-H090MW74lt2WUt}-I7)XQ3FIo?^2O{`
zcrqH+b0uN9Pg^pz(@FhZeaQ<=ng@gy!`XhwC?63l`xGh~^iXk(M&)A-{U$&aV9pXy
zDH?zxcM@BDB$ru$WTrW`Ro~L1I@Q;2xKU#V*1@c>c8hy{nk`MaTG%pU?^k^w?lmu7
zidl?fX5$XQ`h=5ZAtUZ+pfU3L_MObhS!t%r{Q2bBs#wV3tFz|jzY4oNRXT@IL)BBG
zLH*u8tq+5{=Y49{RgN=jN;@9>=4ThYdBPsWKa>Ase47XE(ZgzC?kncy0U`2Y6>&P3
Q*Hzb4;@wp3ek1gQUsv^V{{R30

diff --git a/q01_grid_search/tests/__init__.pyc b/q01_grid_search/tests/__init__.pyc
index 426e9010d7dc84ecfe21eb7faed5c44f5665c8d4..af537e802b38cdbce10f1425ba9ccd5616357bc3 100644
GIT binary patch
delta 49
zcmdnOxP_6O`7<w<am3V#?2d9pnOUjD8M>tfi76SCiIw`{`9;~q1&PV2`pNkzsT0%u
E0G|XAng9R*

delta 49
ucmdnOxP_6O`7<xqCN86i?2dAoS(zn9#`@_+sg;Q(`MEinNyzMpX?_5Y+Ywp-

diff --git a/q01_grid_search/tests/test_q01_grid_search.pyc b/q01_grid_search/tests/test_q01_grid_search.pyc
index 782fd4ff6c7fd093ccb33f34af235222653703d6..632114fb891f817673b09e6042dcc78ce5b8b193 100644
GIT binary patch
delta 391
zcmeCznV`eY{F#@_IAZEX_E*euMVVQt#TmM#1&Jvcm5G)5;rT_`#RZAUsrt$JDXEhS
zIbA1*u)HEd+2)0;iHw}A3=9k<r3E>uleyR<2<wX9e4o99k$}3*g`7JHsR27Qo>yw}
peRj6ZYq|Z2QNKB!H<Fcr-C%R2g)b0R=CavWM28q_C*Kh@1^|IbkI?`C

delta 390
zcmbQB)33wM{F#^Qjj+*1_E*eunOT`7M#lQ-MX8mECHc8InMug($&Ku;lS5cu5ut4J
zLe@k^4i*LmhMdgelF8ic5d<`CZe+jANI(tH{`k!oIirYB=Q=roS8DPDcDBvyxc!My
gzd3<7l9jOiu9IbiFA!Gdve{2WhZt)o-xW0m0IHFXZU6uP


From ed7bf57a8d3f276bcbfd6d17a3973a7d96f9845b Mon Sep 17 00:00:00 2001
From: brijesh-upadhyay <brijesh_upadhyay@ymail.com>
Date: Tue, 27 Feb 2018 14:33:49 +0000
Subject: [PATCH 2/2] Done

---
 q02_fit/__init__.pyc           | Bin 171 -> 166 bytes
 q02_fit/build.py               |  12 +++++++-----
 q02_fit/build.pyc              | Bin 1678 -> 1563 bytes
 q02_fit/tests/__init__.pyc     | Bin 172 -> 172 bytes
 q02_fit/tests/test_q02_fit.pyc | Bin 3850 -> 3459 bytes
 5 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/q02_fit/__init__.pyc b/q02_fit/__init__.pyc
index 135dfa00dc3e3299cc311588f3b8ca2b8e8fe6b6..ad35ed1b7d2b200f74ee4452d2951a95d7eb7ba6 100644
GIT binary patch
delta 92
zcmZ3@xQvm5`7<w<am3W9i5#XL{tOHZ`WgATsrpGpnOUjD8M>tfi76SCiIw`{`9;~q
v1&PV2`pNkzsrp5Uc`5n1@oD)*sl_Gn1x5K;smUe!g$73PX_+PZ6T1`vjrbsU

delta 97
zcmZ3+xSElJ`7<w9NY|Oji5#ZBAq)%*&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
usg;Q(`MEI#Mfq8&$t5vGiFqmcx$$ZFMXALl@i5Us1Ect~%#xUit%?AV>m)Y-

diff --git a/q02_fit/build.py b/q02_fit/build.py
index 7a6602b..3d0f3c5 100644
--- a/q02_fit/build.py
+++ b/q02_fit/build.py
@@ -1,3 +1,4 @@
+# %load q02_fit/build.py
 # Default imports
 
 import pandas as pd
@@ -18,9 +19,10 @@
               "max_depth": [40, 20, 10],
               "max_leaf_nodes": [5, 10, 2]}
 
-grid, grid_param, grid_score = grid_search(X_train, y_train, rfc, param_grid, cv=3)
-
-
-# Write your solution here :
-
+def fit(X_test,y_test):
+    grid, grid_param, grid_score = grid_search(X_train, y_train, rfc, param_grid, cv=3)
+    grid.fit(X_train,y_train)
+    y_pred = grid.predict(X_test)
+    return confusion_matrix(y_test,y_pred), classification_report(y_test,y_pred), accuracy_score(y_test,y_pred)
 
+#fit(X_test,y_test)
diff --git a/q02_fit/build.pyc b/q02_fit/build.pyc
index 2fc63d1bfae102c7d87fa5f2c9380741325a814f..19441f76d4b393a953f12cd827a913906b365bdb 100644
GIT binary patch
delta 687
zcmbtRO-md>5Pdzfu0|q$1rxJ^Ie3_hj(841$RQW;&=Ddc3}bh1c2>t3yL*L&UG}g!
z<dn<e$v@y#@L%Ky<cH)BSk)}3XNRdbue+*Vz3%z5aQn6u|6iE@-Mu+cm_D=g-KTIn
z_pL3ls6XNtaPk3K;Cs@VSaB!PNh|t0QV~@(DY)Y+cbpS=dIfw0AHz4eOGg+t#A%FS
zgdt%Ag9zQ3Y1ue};B^xNU@S1C#4H8^gBeiH&pqRBo_ISRk)4<Z9?~p8T^GDa<_RPP
zivY)&w|Q|Hcz?>d%(j*1$~w1snf<hdCbvMl@S(J}Mi<IUL3@%Dl1C(bR?k4P#*KX7
zBx{_flLA49Wtn6_J4^{nrz&fv9ju>F9Rj!mVri!;O?qaFu5q31UY+YsKkuhMDtqqg
zT$xl=+N3tW)K!_aNy>fmS#7JXQ9ixe-OI>(de$p0^iJKE??`ct!p#vtY>6eYD3W#J
z!9h(jxeNDJ>&Zjo-$*V|PI8M}W_Zt~e5NDYGjfHuRvB3M$@y#Szi|KQg?;+xz~{2k
Py$kb&O}LFo+1z{t9>SU(

delta 787
zcmbVIv2N5r5PfU=d?88{NR&Xh08NTh3WP#Og_H<VMT!9lPL`}a?>g}%7n|KZl#?#H
z;t(axmHYrL-$6-1%^x69&`>b57b#azVQXjSJ&)hayiZFXms{bl<;9(EKi}lIdYW`U
zrDKyXt!?pGhtRj6*Pu6`Z$sUMYGD$IG(_hPI-BSavxWCSrv)YOqJ3|AC_amH`dfS*
zyMUDPcV);I=L>Wg?9s6W1qbv5o*(cXU<6DAE(5p_y$GYg!w@4PBe(`eM246IxNN}1
zb1;T$&OyqlcuW;d6d_F|sMlee+q;Ouu_={XqNJ;>%W7$4-)5u$)JCf^cYg9(xf?|7
zODCUEg-%!{;rSC@W+oR?_BwN<LjwWBS<3&_<C&IL$tpp|-StJSbElQB?Mr9M3)+?3
zIWzvd%=3Yf`LInKe6UB9?LA3fS#4}8yC<bR(WmLYwx_PD(_^ED(pCMmHdT+LQzOq+
z)z6B`=p)|kihlcOH!Dh)b_eB|dRPyAS0Xk^-QMJGVnM9X8wVU$g7y}1e$1K_rA^id
zPd`N8$KEGe*~s!dS?4M?ju!XC1{3V@OEb{Eiz#xqNQAdJW9t)c=s89+|F5CVY4(KM
eU%N18#le4h@eeDeKN{;Xn{V$=|1=&1+tFY4Rk=9;

diff --git a/q02_fit/tests/__init__.pyc b/q02_fit/tests/__init__.pyc
index c6d3bedda181c13710645698012735cb2d36ac14..cb7739db4f5a42e1921af485d6a2b6ae7be81d61 100644
GIT binary patch
delta 49
zcmZ3(xQ3CP`7<w<am3V#?2d9pnOUjD8M>tfi76SCiIw`{`9;~q1&PV2`pNkzsT0%O
E0Gs>~f&c&j

delta 49
ucmZ3(xQ3CP`7<xqCN86i?2dAoS(zn9#`@_+sg;Q(`MEinNyzMpX>I_F(-A@d

diff --git a/q02_fit/tests/test_q02_fit.pyc b/q02_fit/tests/test_q02_fit.pyc
index 1bdabb1518ae7f4dbc88fe379481fc39b456c090..3a9dba238672ec63cdd44c07398c75a87c621cbd 100644
GIT binary patch
delta 357
zcmeB@YnEnb{>;l|95HnxyAm^_>0~WtGnSxW4c5uI%unQsGP6>PGjvM}5>qlN6D#$@
z^NX^J3lfu4^^@~cQYR;JnND89@{kB+n{Tk@FcP6|@^p5G$$p$)2`lwyR9n1}izqW$
zcx3o>7#J9eS%3rsqXeS{`(%9{i^<7+(uD0X5eX6i>JkU(=K>OJjGQc-ESul+^b=+G
HMLtUaIDd7l

delta 536
zcmZpc?vi6?{>;lIAY!zUU5S~|Zn74$8E*<JLkj~#6gxvuum;=Y6y_&#nOT`7M#lQ-
zMX8mECHc8InMug($qzY9C(mYiNQAP@=UH<YiBLDWkKKXMa`Jh0C0-_m5*CIOMurkr
zh8m{Hj2t42PLsXZw3&-biYEJUNT{$eFfar$f(Qu^AqgU+fJ6y9kSNW|OwLb9o!rl1
zLWHe)V122@CGlyQCGp8QiN(e7MX3e(MJ4eil?AD4Km&_8fCK}h1S1b4^W^ueW|Kd%
zUm|R>KcmiKLr$VR-ohorZv?W41!|E7$K>@~7ED3vlW+3K5w^-iEJy&TQygRj50GGE
T<YWOtw#^yb{X{vyi`NnWy!NB<