From 28f9856bbe956f589632c53e29c428382fa97ee2 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 30 Nov 2018 05:45:28 +0000
Subject: [PATCH 1/6] Done

---
 __pycache__/__init__.cpython-36.pyc            | Bin 154 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc        | Bin 178 -> 166 bytes
 q01_plot_corr/__pycache__/build.cpython-36.pyc | Bin 558 -> 783 bytes
 q01_plot_corr/build.py                         |  15 ++++++++++++---
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 167 -> 172 bytes
 .../test_q01_plot_corr.cpython-36.pyc          | Bin 791 -> 1101 bytes
 6 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index abc397ac59f40d351e1861264050586541adce96..3334d9c5eaa7536dc3bfc8448bc60f6886aa2b60 100644
GIT binary patch
delta 79
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delta 81
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diff --git a/q01_plot_corr/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/__pycache__/__init__.cpython-36.pyc
index 460f88abffae2c2371906282e6e7f121c82a6603..577d1b0f824d42f1709a77ebf0ae03f0088f8e00 100644
GIT binary patch
delta 120
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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
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index edc724a..2c456aa 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -1,16 +1,25 @@
+# %load q01_plot_corr/build.py
 # Default imports
 import pandas as pd
 from matplotlib.pyplot import yticks, xticks, subplots, set_cmap
+import matplotlib.pyplot as plt
 plt.switch_backend('agg')
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
 
-# Write your solution here:
+
+#Write your solution here:
 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
+    #return ax
+
+plot_corr(data,)
+data._get_numeric_data().columns
+
+
+
diff --git a/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index c4bc30d7704db1af3a7d76f564945a76f376cb2d..ad5b4247a3dbf33023403f17dba6a85ea76f6b7a 100644
GIT binary patch
delta 99
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GIT binary patch
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From 886666fb9aa51c29eb2fcb7a3225c58b312a4a96 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Thu, 6 Dec 2018 13:43:30 +0000
Subject: [PATCH 2/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 167 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 951 -> 853 bytes
 q02_best_k_features/build.py                  |  19 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 173 -> 178 bytes
 ...t_q02_percentile_k_features.cpython-36.pyc | Bin 0 -> 1965 bytes
 5 files changed, 19 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..ada48c3af02137a03fd1e934ba6468ec290fed70 100644
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delta 99
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diff --git a/q02_best_k_features/build.py b/q02_best_k_features/build.py
index 9b1046a..bb437f6 100644
--- a/q02_best_k_features/build.py
+++ b/q02_best_k_features/build.py
@@ -1,3 +1,4 @@
+# %load q02_best_k_features/build.py
 # Default imports
 
 import pandas as pd
@@ -10,3 +11,21 @@
 
 # Write your solution here:
 
+def percentile_k_features(df, K=20):
+    x = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    #selecting features on the basis of p-value i.e whose value less than percentile is true
+    best_feature = SelectPercentile(f_regression, percentile=K)
+    #selecting best features from X
+    best_feature.fit_transform(x,y)
+    #creating dataframe from score, get_support, result
+    d =  {'support': best_feature.get_support(),'values':best_feature.scores_}
+    df1 = pd.DataFrame(d,index = x.columns)
+    #sorting values according get_support
+    df1 = df1.sort_values('values', ascending=False)
+    #selecting only rows whose value of support is True
+    col = df1[df1.support].index
+    return list(col) # returning list of features 
+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 5d3b868efb56480c4c8de05509065eb7bf9c6a6b Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 7 Dec 2018 13:28:46 +0000
Subject: [PATCH 3/6] Done

---
 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc  | Bin 0 -> 163 bytes
 q03_rf_rfe/__pycache__/build.cpython-36.pyc     | Bin 0 -> 646 bytes
 q03_rf_rfe/build.py                             |  16 +++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 169 bytes
 .../__pycache__/test_q03_rf_rfe.cpython-36.pyc  | Bin 0 -> 1864 bytes
 5 files changed, 15 insertions(+), 1 deletion(-)
 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..5b44655d86658f9c4ae045e01aadc154ee5a2664
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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..f35450e 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
 
@@ -7,5 +8,18 @@
 from sklearn.ensemble import RandomForestClassifier
 
 
-# Your solution code here
+# Your solution code hered
+def rf_rfe(df):
+    
+    x = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    #creating a model
+    Ra = RandomForestClassifier()
+    rf = RFE(Ra)
+    #
+    rf.fit(x,y) 
+    most_sig = list(x.columns[rf.support_])
+    return most_sig
+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 0d85bb5d06c910bacef91edd8098bab834c00cb5 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 7 Dec 2018 13:29:07 +0000
Subject: [PATCH 4/6] Done

---
 q03_rf_rfe/build.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/q03_rf_rfe/build.py b/q03_rf_rfe/build.py
index f35450e..7483767 100644
--- a/q03_rf_rfe/build.py
+++ b/q03_rf_rfe/build.py
@@ -16,7 +16,7 @@ def rf_rfe(df):
     #creating a model
     Ra = RandomForestClassifier()
     rf = RFE(Ra)
-    #
+    #selecting best features all avaiable features
     rf.fit(x,y) 
     most_sig = list(x.columns[rf.support_])
     return most_sig

From 87847c412530a5f8da33577440bcc068df9c0d39 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 7 Dec 2018 13:52:50 +0000
Subject: [PATCH 5/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 758 bytes
 q04_select_from_model/build.py                   |  14 +++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 180 bytes
 .../test_q04_select_from_model.cpython-36.pyc    | Bin 0 -> 2084 bytes
 5 files changed, 13 insertions(+), 1 deletion(-)
 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..2fd8e3ea725f4ee39c67adadc7aa0be76a562319
GIT binary patch
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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..45b2b33 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
@@ -6,5 +7,16 @@
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
-
+np.random.seed(9)
 # Your solution code here
+def select_from_model(df):
+    x = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    Random = RandomForestClassifier()
+    best_features = SelectFromModel(Random)
+    best_features.fit(x,y)
+    feature_name = list(x.columns[best_features.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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From 2abe7a46f63ac0ea90e546e8a6cd8b07e832c19f Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Wed, 9 Jan 2019 11:18:53 +0000
Subject: [PATCH 6/6] Done

---
 .../__pycache__/build.cpython-36.pyc          | Bin 783 -> 783 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 173 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1059 bytes
 q05_forward_selected/build.py                 |  93 ++++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 179 bytes
 .../test_q05_forward_selected.cpython-36.pyc  | Bin 0 -> 2851 bytes
 6 files changed, 93 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/q01_plot_corr/__pycache__/build.cpython-36.pyc b/q01_plot_corr/__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..b73e5ed 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
 from sklearn.linear_model import LinearRegression
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import r2_score, accuracy_score
+model = LinearRegression()
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
@@ -8,3 +12,92 @@
 
 
 # Your solution code here
+
+
+
+def forward_selected(data, model):
+    X  = data.iloc[:,:-1]
+    y = data.iloc[:,-1]
+    l = []
+    
+    score = -1000
+    c = ''
+    variable_1 = []
+    variable_2 = []
+    column = list(X.columns)
+    for i in range(len(column)):
+        
+        
+        for col in column:
+            #print(col)
+            l.append(col)
+            model.fit(X[l],y)
+            acc = model.score(X[l],y)
+            #print(col, acc)
+            if acc > score:
+                score = acc
+                c = col
+            l.pop(len(l)-1)
+#         print('  ')
+            #print(col,c, score, acc)
+        #print('  ')
+        if c in l:
+            pass
+        else:
+            l.append(c)
+            column.remove(c)
+            variable_2.append(c)
+        variable_1.append(score)
+    return variable_2, variable_1
+
+
+var1 , var2 = forward_selected(data, model)
+var2
+# from sklearn.linear_model import LinearRegression
+# from sklearn.model_selection import train_test_split
+# from sklearn.metrics import r2_score, accuracy_score
+# model = LinearRegression()
+
+
+
+# def forward_selected(X,y,i):
+#     X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.3, random_state =i)
+#     l = []
+    
+#     score = -1000
+#     c = ''
+#     variable_1 = []
+#     variable_2 = []
+#     column = list(X_train.columns)
+#     for i in range(len(column)):
+        
+        
+#         for col in column:
+#             #print(col)
+#             l.append(col)
+#             model.fit(X_train[l],y_train)
+#             y_pred = model.predict(X_test[l])
+#             acc = r2_score(y_pred, y_test)
+#             #print(col, acc)
+#             if acc > score:
+#                 score = acc
+#                 c = col
+#             l.pop(len(l)-1)
+# #         print('  ')
+# #         print(c, score)
+#         if c in l:
+#             pass
+#         else:
+#             l.append(c)
+#             column.remove(c)
+#             variable_2.append(c)
+#         variable_1.append(score)
+#     return variable_2
+# data.columns
+
+
+   
+
+
+
+
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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