From 42b6388aea1958f85e4034ce0c59cbd36decaf77 Mon Sep 17 00:00:00 2001
From: Tusharshah2006 <tusharshah2006@gmail.com>
Date: Wed, 17 Oct 2018 02:41:12 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc            | Bin 154 -> 156 bytes
 .../__pycache__/__init__.cpython-36.pyc        | Bin 178 -> 170 bytes
 q01_plot_corr/__pycache__/build.cpython-36.pyc | Bin 558 -> 753 bytes
 q01_plot_corr/build.py                         |   8 +++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 167 -> 176 bytes
 .../test_q01_plot_corr.cpython-36.pyc          | Bin 791 -> 1105 bytes
 6 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index abc397ac59f40d351e1861264050586541adce96..c268decac7a431fd7a4b0091d69dd7f61463f82e 100644
GIT binary patch
delta 83
zcmbQmIERtLn3tDp!h&Pb6FJQ7J@qs4b5r$0N{cfRi-0)8$iTo%KRmxEySN}RIaNP7
kKP6Q^Ej6*Ev?w*cI5j6Vxg;|`FTS8CKMTmzpI9RY0GKZw!vFvP

delta 81
zcmbQkIE#_Pn3tC;r0Y!NL=JOXcW0}Z(Bjmh;+VvwjLhPU)a)3S)Z*-t{DPSDqSVU7
elKkA5f};Ga)Z`Kv9bb}~Tac4jk{UCyP7VNrTpn2f

diff --git a/q01_plot_corr/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/__pycache__/__init__.cpython-36.pyc
index 460f88abffae2c2371906282e6e7f121c82a6603..c8ef73a74b92b2f1e9b4e79d8836a97cdf9c35d0 100644
GIT binary patch
delta 124
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delta 105
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diff --git a/q01_plot_corr/__pycache__/build.cpython-36.pyc b/q01_plot_corr/__pycache__/build.cpython-36.pyc
index f4059a396f2f2d496c99f95048654e2c7471d9b9..ef2cfc31e7456295662c51779febcbb788b840a3 100644
GIT binary patch
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index edc724a..f2aa04d 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -1,5 +1,7 @@
+# %load q01_plot_corr/build.py
 # Default imports
 import pandas as pd
+import matplotlib.pyplot as plt
 from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
 plt.switch_backend('agg')
 data = pd.read_csv('data/house_prices_multivariate.csv')
@@ -9,8 +11,12 @@
 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)
+
+
diff --git a/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index c4bc30d7704db1af3a7d76f564945a76f376cb2d..51d32e26948d1a681e812cf4cd9577066dd84681 100644
GIT binary patch
delta 103
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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..c8c969e44e0c0c47013cdf7d6e5dcf9bbeabe307 100644
GIT binary patch
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From e3c24d91ccc302a1c14789bbf1600230261c0670 Mon Sep 17 00:00:00 2001
From: Tusharshah2006 <tusharshah2006@gmail.com>
Date: Wed, 17 Oct 2018 02:59:09 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc        | Bin 167 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc           | Bin 951 -> 1027 bytes
 q02_best_k_features/build.py                   |  13 +++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 173 -> 182 bytes
 ...st_q02_percentile_k_features.cpython-36.pyc | Bin 0 -> 1969 bytes
 5 files changed, 13 insertions(+)
 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..960e9b13ab975c5cb2876ec1dabdd2bf50849744 100644
GIT binary patch
delta 103
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delta 121
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diff --git a/q02_best_k_features/build.py b/q02_best_k_features/build.py
index 9b1046a..685310b 100644
--- a/q02_best_k_features/build.py
+++ b/q02_best_k_features/build.py
@@ -1,6 +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')
 
@@ -9,4 +11,15 @@
 
 
 # Write your solution here:
+def percentile_k_features(df, k=20):
+    predictors = df.drop('SalePrice', axis=1)
+    target = df['SalePrice']
+    
+    fs = SelectPercentile(f_regression, k)
+    features = fs.fit_transform(predictors, target)
+    features_by_score = [predictors.columns[i] for i in np.argsort(fs.scores_)[::-1]]
+
+    return features_by_score[:7]
+
+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
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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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From be9c46128a67a67c0930ec8d5a0a73a81e9eddc2 Mon Sep 17 00:00:00 2001
From: Tusharshah2006 <tusharshah2006@gmail.com>
Date: Fri, 19 Oct 2018 01:56:33 +0000
Subject: [PATCH 3/5] Done

---
 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 167 bytes
 q03_rf_rfe/__pycache__/build.cpython-36.pyc      | Bin 0 -> 698 bytes
 q03_rf_rfe/build.py                              |  14 ++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 173 bytes
 .../__pycache__/test_q03_rf_rfe.cpython-36.pyc   | Bin 0 -> 1868 bytes
 5 files changed, 14 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
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diff --git a/q03_rf_rfe/__pycache__/build.cpython-36.pyc b/q03_rf_rfe/__pycache__/build.cpython-36.pyc
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diff --git a/q03_rf_rfe/build.py b/q03_rf_rfe/build.py
index e8a8d20..abea2b4 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
 
@@ -8,4 +9,17 @@
 
 
 # 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)
+    fit = rfe.fit(X, y)
+    
+    features = X.columns[fit.support_]
+    return list(features)
+
+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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From 63acdd2e8e202bd736b96d5e836de651aa353563 Mon Sep 17 00:00:00 2001
From: Tusharshah2006 <tusharshah2006@gmail.com>
Date: Fri, 19 Oct 2018 02:06:12 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 699 bytes
 q04_select_from_model/build.py                   |  13 +++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 184 bytes
 .../test_q04_select_from_model.cpython-36.pyc    | Bin 0 -> 2088 bytes
 5 files changed, 13 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
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diff --git a/q04_select_from_model/__pycache__/build.cpython-36.pyc b/q04_select_from_model/__pycache__/build.cpython-36.pyc
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diff --git a/q04_select_from_model/build.py b/q04_select_from_model/build.py
index 12dd1df..1fa9125 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 +9,15 @@
 
 
 # Your solution code here
+def select_from_model(df):
+    X = df.drop('SalePrice', axis=1)
+    y = df['SalePrice']
+    
+    model = RandomForestClassifier()
+    sfm = SelectFromModel(model)
+    sfm.fit_transform(X, y)
+    
+    return list(X.columns[sfm.get_support()])
+
+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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From fd717b5a0b692c9bcebb91de97e09cc1e9c1b3f2 Mon Sep 17 00:00:00 2001
From: Tusharshah2006 <tusharshah2006@gmail.com>
Date: Sat, 20 Oct 2018 06:25:08 +0000
Subject: [PATCH 5/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1082 bytes
 q05_forward_selected/build.py                 |  36 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 183 bytes
 .../test_q05_forward_selected.cpython-36.pyc  | Bin 0 -> 2855 bytes
 5 files changed, 36 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
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diff --git a/q05_forward_selected/__pycache__/build.cpython-36.pyc b/q05_forward_selected/__pycache__/build.cpython-36.pyc
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diff --git a/q05_forward_selected/build.py b/q05_forward_selected/build.py
index 8816abd..77f2c07 100644
--- a/q05_forward_selected/build.py
+++ b/q05_forward_selected/build.py
@@ -1,6 +1,10 @@
+# %load q05_forward_selected/build.py
 # Default imports
 import pandas as pd
+import numpy as np
 from sklearn.linear_model import LinearRegression
+from sklearn.model_selection import train_test_split as tts
+from sklearn.metrics import mean_squared_error, r2_score
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
@@ -8,3 +12,35 @@
 
 
 # Your solution code here
+def forward_selected(df, LinReg):
+    features = df.drop('SalePrice', axis=1)
+    target = df['SalePrice']
+    feature_list = list(features.columns)
+    best_features = []
+    best_scores = []
+    
+    while len(feature_list) > 0:
+        scores_with_features = []
+        
+        for feature in feature_list:
+            best_features.append(feature)
+
+            LinReg.fit(features[best_features], target)
+            rsquare = LinReg.score(features[best_features], target)          
+            scores_with_features.append((rsquare, feature))
+            
+            best_features.remove(feature)
+            
+        scores_with_features.sort()
+        best_score, best_candidate = scores_with_features.pop()
+        
+        feature_list.remove(best_candidate)
+        
+        best_features.append(best_candidate)
+        best_scores.append(best_score)
+
+    return best_features, best_scores 
+    
+forward_selected(data, model)
+
+
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