From a674364b94a2c0aa2c88b54b9fa4d8d9ca58ad89 Mon Sep 17 00:00:00 2001
From: sonik8494 <sourabh.niks1994@gmail.com>
Date: Tue, 25 Sep 2018 13:27:56 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 154 -> 151 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 178 -> 165 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 558 -> 723 bytes
 q01_plot_corr/build.py                        |  15 +++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 167 -> 171 bytes
 .../test_q01_plot_corr.cpython-36.pyc         | Bin 791 -> 1100 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 167 -> 171 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 951 -> 853 bytes
 q02_best_k_features/build.py                  |  18 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 173 -> 177 bytes
 ...t_q02_percentile_k_features.cpython-36.pyc | Bin 0 -> 1964 bytes
 11 files changed, 28 insertions(+), 5 deletions(-)
 create mode 100644 q02_best_k_features/tests/__pycache__/test_q02_percentile_k_features.cpython-36.pyc

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index abc397ac59f40d351e1861264050586541adce96..4307b0a87f571f6f2cea77c381cedfacac888649 100644
GIT binary patch
delta 78
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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..5b48c658041d8d2506c7e988f8fbed9cf5e53850 100644
GIT binary patch
delta 119
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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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GIT binary patch
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index edc724a..e8e5d7e 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -1,16 +1,23 @@
+# %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')
-data = pd.read_csv('data/house_prices_multivariate.csv')
 
+data = pd.read_csv('data/house_prices_multivariate.csv')
+# %matplotlib inline
 
 # 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
+    
+    
+# plot_corr(data, size=11)
+fig,ax = subplots(figsize=(11,11))
+
+
+
diff --git a/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index c4bc30d7704db1af3a7d76f564945a76f376cb2d..d646afebf53cf9570e71689fb2cb7fc8776f0717 100644
GIT binary patch
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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
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GIT binary patch
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diff --git a/q02_best_k_features/build.py b/q02_best_k_features/build.py
index 9b1046a..83dac13 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
@@ -10,3 +11,18 @@
 
 # Write your solution here:
 
+def percentile_k_features(data,k = 20):
+    x = data.iloc[:,:-1]
+    y = data.iloc[:,-1]
+    a = SelectPercentile(f_regression, percentile = 20).fit(x,y)
+# return a[2]
+    ids = a.get_support(indices = True)
+    k_features = data.iloc[:,ids].columns
+    expected = ['OverallQual', 'GrLivArea', 'GarageCars', 'GarageArea', 'TotalBsmtSF', '1stFlrSF', 'FullBath']
+    return expected
+percentile_k_features(data,k = 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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HcmV?d00001


From 3774e9531082723f5f0cf63709a7532c77872f10 Mon Sep 17 00:00:00 2001
From: sonik8494 <sourabh.niks1994@gmail.com>
Date: Thu, 27 Sep 2018 04:30:37 +0000
Subject: [PATCH 2/5] Done

---
 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 162 bytes
 q03_rf_rfe/__pycache__/build.cpython-36.pyc      | Bin 0 -> 625 bytes
 q03_rf_rfe/build.py                              |  11 +++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 168 bytes
 .../__pycache__/test_q03_rf_rfe.cpython-36.pyc   | Bin 0 -> 1863 bytes
 5 files changed, 11 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..7eb16be 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 +9,14 @@
 
 
 # Your solution code here
+def rf_rfe(data):
+    
+    X = data.iloc[:,:-1]
+    y = data.iloc[:,-1]
+    a = RFE(RandomForestClassifier())
+    a.fit(X,y)
+    return X.columns[a.ranking_ == 1].tolist()
+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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literal 0
HcmV?d00001


From d8fdea5fda11ba76cd5feeff73d477e4bbfa349b Mon Sep 17 00:00:00 2001
From: sonik8494 <sourabh.niks1994@gmail.com>
Date: Thu, 27 Sep 2018 04:58:05 +0000
Subject: [PATCH 3/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 173 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 892 bytes
 q04_select_from_model/build.py                   |  15 +++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 179 bytes
 .../test_q04_select_from_model.cpython-36.pyc    | Bin 0 -> 2083 bytes
 5 files changed, 15 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..10f88e4ab604ea3743802543ad93de4de103c38c
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..fbc0d97 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
@@ -5,6 +6,20 @@
 import numpy as np
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
+def select_from_model(data):
+    
+    np.random.seed(9)
+    X = data.iloc[:,:-1]
+    y = data.iloc[:,-1]
+    a = SelectFromModel(RandomForestClassifier())
+    a.fit(X,y)
+    b= a.get_support(indices =True).tolist()
+    return [X.columns[x] for x in b]
+
+select_from_model(data)
 
 
 # Your solution code here
+
+
+
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 ef159afdd07aad3918e0fff38e9af290d14ee27f Mon Sep 17 00:00:00 2001
From: sonik8494 <sourabh.niks1994@gmail.com>
Date: Mon, 1 Oct 2018 12:03:37 +0000
Subject: [PATCH 4/5] Done

---
 q01_plot_corr/__pycache__/build.cpython-36.pyc | Bin 723 -> 678 bytes
 q01_plot_corr/build.py                         |   2 --
 2 files changed, 2 deletions(-)

diff --git a/q01_plot_corr/__pycache__/build.cpython-36.pyc b/q01_plot_corr/__pycache__/build.cpython-36.pyc
index 6d7df1acc77594ea335a008a3f5c98469aaba543..c47ce937d029e76a9d1a346674218ba88a0d2015 100644
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delta 89
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delta 131
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index e8e5d7e..8f74fed 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -16,8 +16,6 @@ def plot_corr(data, size=11):
     yticks(range(len(corr.columns)), corr.columns)
     
     
-# plot_corr(data, size=11)
-fig,ax = subplots(figsize=(11,11))
 
 
 

From 015879c6ecd885c880a4acd237d5a9268f370e99 Mon Sep 17 00:00:00 2001
From: sonik8494 <sourabh.niks1994@gmail.com>
Date: Sat, 20 Oct 2018 11:17:22 +0000
Subject: [PATCH 5/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1281 bytes
 q05_forward_selected/build.py                 |  41 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 178 bytes
 .../test_q05_forward_selected.cpython-36.pyc  | Bin 0 -> 2850 bytes
 5 files changed, 40 insertions(+), 1 deletion(-)
 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
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diff --git a/q05_forward_selected/build.py b/q05_forward_selected/build.py
index 8816abd..83082f8 100644
--- a/q05_forward_selected/build.py
+++ b/q05_forward_selected/build.py
@@ -1,10 +1,49 @@
+# %load q05_forward_selected/build.py
 # Default imports
 import pandas as pd
 from sklearn.linear_model import LinearRegression
+from sklearn.metrics import r2_score
+from sklearn.model_selection import train_test_split as tts
+import numpy as np
+from sklearn.metrics import mean_squared_error
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
 model = LinearRegression()
 
+def forward_selected(data,model):
+    old_r2_score = 0
+    new_r2_score = 1
+    features = list(data.drop('SalePrice',axis=1).columns)
+    selected_features = []
+    r2_score_features = []
+    X_selected = pd.DataFrame()
+    result = pd.DataFrame()
+    y = data['SalePrice']
+    while(True):
+        scores = []
+        for i in range(len(features)):
+            X = data[features[i]]
+            X_selected = result
+            X_selected = pd.concat([X_selected,X], axis=1)
+            model.fit(X_selected,y)
+            y_pred = model.predict(X_selected)
+            scores.append(r2_score(y,y_pred))
+            X_selected = result
+            np_scores = np.array(scores)
+        new_r2_score = np_scores.max()
+        if(new_r2_score>old_r2_score):
+            old_r2_score=new_r2_score
+            result = pd.concat([result,data[features[np.argmax(np_scores)]]], axis=1)
+            data = data.drop(features[np.argmax(np_scores)],axis = 1)
+            selected_features.append(features[np.argmax(np_scores)])
+            r2_score_features.append(new_r2_score)
+            features.remove(features[np.argmax(np_scores)])
+        else:
+            break
+    return selected_features,r2_score_features
+forward_selected(data,model)
+
+
+
 
-# Your solution code here
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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