From 9604a0b64e3838d66c2a9e5f666f65fb3bd1c227 Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 11:08:35 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc            | Bin 154 -> 157 bytes
 .../__pycache__/__init__.cpython-36.pyc        | Bin 178 -> 171 bytes
 q01_plot_corr/__pycache__/build.cpython-36.pyc | Bin 558 -> 686 bytes
 q01_plot_corr/build.py                         |   9 +++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 167 -> 177 bytes
 .../test_q01_plot_corr.cpython-36.pyc          | Bin 791 -> 1106 bytes
 6 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index abc397ac59f40d351e1861264050586541adce96..33f226667fe2e201a50f2c304d2065de7ce7e382 100644
GIT binary patch
delta 84
zcmbQmIG2&bn3tD}?by-ii5%t*UiumNxvBa^iMf@D*+rSf8F`6$7H0b4`9;~q1&PV2
m`pNkzsrqTDi6x~)sqw|BIjPAdnfZC~1x5K;K&Jl08aV*DLLOuQ

delta 81
zcmbQsIE#_Pn3tC;r0Y!NL=JOXcW0}Z(Bjmh;+VvwjLhPU)a)3S)Z*-t{DPSDqSVU7
elKkA5f};Ga)Z`Kv9bb}~Tac4jk{UCyUJd|*uO3?f

diff --git a/q01_plot_corr/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/__pycache__/__init__.cpython-36.pyc
index 460f88abffae2c2371906282e6e7f121c82a6603..2880baf78f7d241b58be0fcfcd354e47c1abe355 100644
GIT binary patch
delta 125
zcmWN@K?=e!5CFjBB0=a^+=`$c#BV6{u!MA_u}L;=(nFu&JG}V^eT1*Ehk<$Pmo~em
zS+BmI?r9F;3Ij(1v2nJe_%bA$j(fPUj3rw~;J7Eak*$*u77FC5=Y(1Kz7!tq7IWZ=
Zjzs{`CtndadH$JG<bDct)=H_eP=EN)D{24$

delta 105
zcmZ3@xQUU&n3tC;r0Y!NL=N-NcxS7a(Bjmh;+VvwjLhPU)a)3S)Z*-t{DPSDqSVU7
zlKkA5f};Ga)Z`Kv9bb}~Tac4jk{VNJU>IMNnwS!wTwE5Pl30=$Uy>i6k`^<uR}KK{
ClPC88

diff --git a/q01_plot_corr/__pycache__/build.cpython-36.pyc b/q01_plot_corr/__pycache__/build.cpython-36.pyc
index f4059a396f2f2d496c99f95048654e2c7471d9b9..d36435ea29104ae6f8e7c7e99d358902455c1a4d 100644
GIT binary patch
literal 686
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index edc724a..272c9a8 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -1,7 +1,9 @@
+# %load q01_plot_corr/build.py
 # Default imports
 import pandas as pd
 from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
-plt.switch_backend('agg')
+# plt.switch_backend('agg')
+# % matplotlib inline
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
 
@@ -9,8 +11,11 @@
 def plot_corr(data, size=11):
     corr = data.corr()
     fig, ax = subplots(figsize=(size, size))
-    set_cmap("YlOrRd")
+    set_cmap('YlOrRd')
     ax.matshow(corr)
     xticks(range(len(corr.columns)), corr.columns, rotation=90)
     yticks(range(len(corr.columns)), corr.columns)
     return ax
+# plot_corr(data,size=11)
+
+
diff --git a/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index c4bc30d7704db1af3a7d76f564945a76f376cb2d..56433c4f12651ab4404774608ed769034111e1b7 100644
GIT binary patch
delta 104
zcmZ3^xRH^=n3tD}^Vreoi5%u3arzngxvBa^iMf@D*+rSf8F`6$7H0b4`9;~q1&PV2
z`pNkzsrqTDi6x~)sqw|BIjPAdnfZC~1x5K;K&F17fnj_>PJT&za(+>feo1O^NwNOK
GPB{RB3no(l

delta 121
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diff --git a/q01_plot_corr/tests/__pycache__/test_q01_plot_corr.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/test_q01_plot_corr.cpython-36.pyc
index 40d2b706881e3ab76930c2164e7d4894f4b4633f..281cf38a31d66935da26c3dd6f361afb90d709ae 100644
GIT binary patch
literal 1106
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literal 791
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From fe7a493ad0702bb023554516ab0280ad3b7a7cc8 Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 12:05:59 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc         | Bin 167 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 951 -> 765 bytes
 q02_best_k_features/build.py                    |  16 +++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 173 -> 183 bytes
 ...est_q02_percentile_k_features.cpython-36.pyc | Bin 0 -> 1970 bytes
 5 files changed, 15 insertions(+), 1 deletion(-)
 create mode 100644 q02_best_k_features/tests/__pycache__/test_q02_percentile_k_features.cpython-36.pyc

diff --git a/q02_best_k_features/__pycache__/__init__.cpython-36.pyc b/q02_best_k_features/__pycache__/__init__.cpython-36.pyc
index 43047f0b7d121cffd870478bfcf87b31503ee2f1..8f69d00d01a94716bb508643dadb998bfed8e349 100644
GIT binary patch
delta 104
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z`pNkzsrqTDi6x~)sqw|BIjPAdnfZC~1x5K;K&F17fl+)?YH>+?c05#3vHrwPIRJrE
BCQ$$Y

delta 121
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diff --git a/q02_best_k_features/__pycache__/build.cpython-36.pyc b/q02_best_k_features/__pycache__/build.cpython-36.pyc
index 8372777e40963b4c282006fe1233b5dbaa51cf8a..98975cbb18ae8011ae49b6ab140b4f734fc576b4 100644
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diff --git a/q02_best_k_features/build.py b/q02_best_k_features/build.py
index 9b1046a..290b915 100644
--- a/q02_best_k_features/build.py
+++ b/q02_best_k_features/build.py
@@ -1,7 +1,8 @@
+# %load q02_best_k_features/build.py
 # Default imports
 
 import pandas as pd
-
+import numpy as np
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
 from sklearn.feature_selection import SelectPercentile
@@ -9,4 +10,17 @@
 
 
 # Write your solution here:
+def percentile_k_features(df,k = 20):
+    X = df.drop(['SalePrice'], axis = 1)
+    y = df['SalePrice']
+
+    selector = SelectPercentile(f_regression, k)
+    X_new = selector.fit_transform(X, y)
+ 
+    featurelist = list(X.columns.values[np.argsort(selector.scores_)[-1:-X_new.shape[1]-1:-1]])
+    
+    return featurelist
+
+# percentile_k_features(data,20)
+
 
diff --git a/q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc b/q02_best_k_features/tests/__pycache__/__init__.cpython-36.pyc
index 86a25cff523fa394416e407b58545caf2749163a..58b4227f703bc913166594b9f9c87c6ba07293ca 100644
GIT binary patch
delta 110
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diff --git a/q02_best_k_features/tests/__pycache__/test_q02_percentile_k_features.cpython-36.pyc b/q02_best_k_features/tests/__pycache__/test_q02_percentile_k_features.cpython-36.pyc
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GIT binary patch
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literal 0
HcmV?d00001


From a121b3f686b50e12447a97cc7e4dc85f10ebb9ea Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 12:59:54 +0000
Subject: [PATCH 3/5] Done

---
 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 168 bytes
 q03_rf_rfe/__pycache__/build.cpython-36.pyc      | Bin 0 -> 668 bytes
 q03_rf_rfe/build.py                              |  15 +++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 174 bytes
 .../__pycache__/test_q03_rf_rfe.cpython-36.pyc   | Bin 0 -> 1869 bytes
 5 files changed, 15 insertions(+)
 create mode 100644 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_rf_rfe/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_rf_rfe/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_rf_rfe/tests/__pycache__/test_q03_rf_rfe.cpython-36.pyc

diff --git a/q03_rf_rfe/__pycache__/__init__.cpython-36.pyc b/q03_rf_rfe/__pycache__/__init__.cpython-36.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..4302864a18e33741f75a11869dac87f95f20a477
GIT binary patch
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diff --git a/q03_rf_rfe/__pycache__/build.cpython-36.pyc b/q03_rf_rfe/__pycache__/build.cpython-36.pyc
new file mode 100644
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diff --git a/q03_rf_rfe/build.py b/q03_rf_rfe/build.py
index e8a8d20..f3cc913 100644
--- a/q03_rf_rfe/build.py
+++ b/q03_rf_rfe/build.py
@@ -1,3 +1,4 @@
+# %load q03_rf_rfe/build.py
 # Default imports
 import pandas as pd
 
@@ -9,3 +10,17 @@
 
 # Your solution code here
 
+def rf_rfe(df):
+    X = df.drop('SalePrice',axis=1)
+    y = df['SalePrice']
+    
+    model = RandomForestClassifier()
+    rfe = RFE(model,n_features_to_select=len(X.columns)/2)
+    rfe = rfe.fit(X,y)
+    
+    return list(X.columns[rfe.support_])
+
+# rf_rfe(data)
+
+
+
diff --git a/q03_rf_rfe/tests/__pycache__/__init__.cpython-36.pyc b/q03_rf_rfe/tests/__pycache__/__init__.cpython-36.pyc
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HcmV?d00001


From 4e83c7dd65800a6e65a8c94e90aca0d824b417b2 Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 13:10:28 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc        | Bin 0 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc           | Bin 0 -> 711 bytes
 q04_select_from_model/build.py                 |  17 +++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 0 -> 185 bytes
 .../test_q04_select_from_model.cpython-36.pyc  | Bin 0 -> 2089 bytes
 5 files changed, 17 insertions(+)
 create mode 100644 q04_select_from_model/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_select_from_model/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_select_from_model/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_select_from_model/tests/__pycache__/test_q04_select_from_model.cpython-36.pyc

diff --git a/q04_select_from_model/__pycache__/__init__.cpython-36.pyc b/q04_select_from_model/__pycache__/__init__.cpython-36.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..d79bb0f907b236046ea5b19d85f66b4aeec552d2
GIT binary patch
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HcmV?d00001

diff --git a/q04_select_from_model/__pycache__/build.cpython-36.pyc b/q04_select_from_model/__pycache__/build.cpython-36.pyc
new file mode 100644
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diff --git a/q04_select_from_model/build.py b/q04_select_from_model/build.py
index 12dd1df..cb1948a 100644
--- a/q04_select_from_model/build.py
+++ b/q04_select_from_model/build.py
@@ -1,3 +1,4 @@
+# %load q04_select_from_model/build.py
 # Default imports
 from sklearn.feature_selection import SelectFromModel
 from sklearn.ensemble import RandomForestClassifier
@@ -8,3 +9,19 @@
 
 
 # Your solution code here
+def select_from_model(data):
+    X = data.drop('SalePrice',axis=1)
+    y = data['SalePrice']
+    
+    model = RandomForestClassifier()
+    
+    sfm = SelectFromModel(model)
+    sfm.fit_transform(X,y)
+    
+    feature_name = list(X.columns[sfm.get_support()])
+    
+    return feature_name
+
+# select_from_model(data)
+
+
diff --git a/q04_select_from_model/tests/__pycache__/__init__.cpython-36.pyc b/q04_select_from_model/tests/__pycache__/__init__.cpython-36.pyc
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HcmV?d00001


From 2fd446962c1a6c8181c21549bc98c959c990e677 Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 6 Nov 2018 06:40:42 +0000
Subject: [PATCH 5/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 851 bytes
 q05_forward_selected/build.py                 |  33 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 184 bytes
 .../test_q05_forward_selected.cpython-36.pyc  | Bin 0 -> 2856 bytes
 5 files changed, 33 insertions(+)
 create mode 100644 q05_forward_selected/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q05_forward_selected/__pycache__/build.cpython-36.pyc
 create mode 100644 q05_forward_selected/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q05_forward_selected/tests/__pycache__/test_q05_forward_selected.cpython-36.pyc

diff --git a/q05_forward_selected/__pycache__/__init__.cpython-36.pyc b/q05_forward_selected/__pycache__/__init__.cpython-36.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..969cd60bc49ef4c5249c4796c633159d7992c8e1
GIT binary patch
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diff --git a/q05_forward_selected/__pycache__/build.cpython-36.pyc b/q05_forward_selected/__pycache__/build.cpython-36.pyc
new file mode 100644
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GIT binary patch
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literal 0
HcmV?d00001

diff --git a/q05_forward_selected/build.py b/q05_forward_selected/build.py
index 8816abd..1c6ba97 100644
--- a/q05_forward_selected/build.py
+++ b/q05_forward_selected/build.py
@@ -1,5 +1,7 @@
+# %load q05_forward_selected/build.py
 # Default imports
 import pandas as pd
+import numpy as np
 from sklearn.linear_model import LinearRegression
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
@@ -8,3 +10,34 @@
 
 
 # Your solution code here
+
+def forward_selected(df, model):
+    X = df.drop('SalePrice', axis=1)
+    y = df['SalePrice']
+    X_list = list(X.columns)
+    best_X = []
+    best_r2 = []
+    
+    while len(X_list) > 0:
+        r2_X = []
+        
+        for Xcol in X_list:
+            best_X.append(Xcol)
+            model.fit(X[best_X], y)
+            r2 = model.score(X[best_X], y)          
+            r2_X.append((r2, Xcol))
+            
+            best_X.remove(Xcol)
+            
+        r2_X.sort()
+        score, col = r2_X.pop()
+        
+        X_list.remove(col)
+        
+        best_X.append(col)
+        best_r2.append(score)
+    return best_X, best_r2
+
+# forward_selected(data, model)
+
+
diff --git a/q05_forward_selected/tests/__pycache__/__init__.cpython-36.pyc b/q05_forward_selected/tests/__pycache__/__init__.cpython-36.pyc
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