From 8a4deeae356a8213581fe7d47c46a9b6c79350cb Mon Sep 17 00:00:00 2001
From: psicktrick <poojarysaurabh932@gmail.com>
Date: Thu, 3 Jan 2019 03:28:35 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 154 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 178 -> 166 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 558 -> 738 bytes
 q01_plot_corr/build.py                        |  19 +++++++++++-------
 .../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(+), 7 deletions(-)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index abc397ac59f40d351e1861264050586541adce96..82957ce3abac57855d9dfc047ed07cd13b419bfc 100644
GIT binary patch
delta 79
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gmYP^nT9g`JoSKuGT#}ie7hh16p9N&<Pppvx05P>3v;Y7A

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..1a9746db53b029016a450233596270a6f5a56e1e 100644
GIT binary patch
delta 120
zcmdnQxQvm*n3tF9V}owYL=N-xVEv5z+*JL7;>_gik|H3XAD&;7U0jfuoT{IkpOUJd
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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..fec97ccb383c6e429fb9082d76ba91da67806477 100644
GIT binary patch
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diff --git a/q01_plot_corr/build.py b/q01_plot_corr/build.py
index edc724a..c81da1d 100644
--- a/q01_plot_corr/build.py
+++ b/q01_plot_corr/build.py
@@ -1,16 +1,21 @@
+# %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')
+import seaborn as sns
 data = pd.read_csv('data/house_prices_multivariate.csv')
 
 
 # Write your solution here:
 def plot_corr(data, size=11):
-    corr = data.corr()
-    fig, ax = subplots(figsize=(size, size))
-    set_cmap("YlOrRd")
-    ax.matshow(corr)
-    xticks(range(len(corr.columns)), corr.columns, rotation=90)
-    yticks(range(len(corr.columns)), corr.columns)
-    return ax
+    sns.heatmap(data.corr(), cmap='YlOrRd')
+    plt.show()
+plot_corr(data, size=11)
+sns.heatmap(data.corr(), cmap='YlOrRd')
+plt.show()
+data.head()
+data.dtypes
+
+
diff --git a/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc b/q01_plot_corr/tests/__pycache__/__init__.cpython-36.pyc
index c4bc30d7704db1af3a7d76f564945a76f376cb2d..0441c58891fd2d6b9ff8072684a4beffc75d44f4 100644
GIT binary patch
delta 99
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delta 94
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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..b4de5fd14b7b75e9606fb22fc165e3f5ca4b6173 100644
GIT binary patch
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From 5fc7a224227e6fa0fa67db54d9d32f764b9c1f5e Mon Sep 17 00:00:00 2001
From: psicktrick <poojarysaurabh932@gmail.com>
Date: Fri, 4 Jan 2019 04:20:49 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 167 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 951 -> 1192 bytes
 q02_best_k_features/build.py                  |  27 ++++++++++++++++++
 .../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, 27 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..00c66bf75a4462114665313d4737c7a22b62aee4 100644
GIT binary patch
delta 99
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delta 94
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index 8372777e40963b4c282006fe1233b5dbaa51cf8a..f750ea70369d4c24ffdf56c0bbce648af8dae128 100644
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diff --git a/q02_best_k_features/build.py b/q02_best_k_features/build.py
index 9b1046a..e37e092 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
@@ -9,4 +10,30 @@
 
 
 # Write your solution here:
+def percentile_k_features(df,k=20):
+    X=df.iloc[:,:-1]
+    y=df.iloc[:,-1]
+    sp = SelectPercentile(f_regression,percentile=k)
+    sp.fit_transform(X,y)
+    features = X.columns.values[sp.get_support()]
+    scores = sp.scores_[sp.get_support()]
+    fs_score = list(zip(features,scores))
+    df = pd.DataFrame(fs_score,columns=['Name','Score'])
+    return df.sort_values(['Score','Name'],ascending = [False,True])['Name'].tolist()
+
+
+
+X=data.iloc[:,:-1]
+y=data.iloc[:,-1]
+sp = SelectPercentile(f_regression,percentile=20)
+sp.fit_transform(X,y)
+
+features = X.columns.values[sp.get_support()]
+scores = sp.scores_[sp.get_support()]
+scores
+fs_score = list(zip(features,scores))
+df = pd.DataFrame(fs_score,columns=['Name','Score'])
+df.head()
+df.sort_values(['Score','Name'],ascending = [False,True])#['Name'].tolist()
+
 
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..3f0afccb8ce720b39b8b65d67b5a2fea144491fa 100644
GIT binary patch
delta 105
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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
new file mode 100644
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GIT binary patch
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From 5249e6e12816038de894ff57436881a74c4272c8 Mon Sep 17 00:00:00 2001
From: psicktrick <poojarysaurabh932@gmail.com>
Date: Fri, 4 Jan 2019 04:28:32 +0000
Subject: [PATCH 3/4] Done

---
 q03_rf_rfe/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 163 bytes
 q03_rf_rfe/__pycache__/build.cpython-36.pyc      | Bin 0 -> 709 bytes
 q03_rf_rfe/build.py                              |  12 ++++++++++++
 .../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, 12 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..2d7f92c87be6658f810b1ccf6721f789be226f95
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
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diff --git a/q03_rf_rfe/build.py b/q03_rf_rfe/build.py
index e8a8d20..9232ede 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 +10,14 @@
 
 # Your solution code here
 
+def rf_rfe(df):
+    X,y = df.iloc[:,:-1],df.iloc[:,-1]
+    model = RandomForestClassifier()
+    features_no = X.columns
+    rfe = RFE(model,len(X.columns)/2)
+    rfe.fit(X,y)
+    return X.columns.values[rfe.get_support()].tolist()
+rf_rfe(data)
+data.shape
+
+
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 3666ada3a8b8258336f4cc6b008fb0c18152c6b5 Mon Sep 17 00:00:00 2001
From: psicktrick <poojarysaurabh932@gmail.com>
Date: Fri, 4 Jan 2019 04:31:27 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 731 bytes
 q04_select_from_model/build.py                   |   9 +++++++++
 .../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, 9 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
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..fcca888 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 +9,11 @@
 
 
 # Your solution code here
+def select_from_model(df):
+    X,y = df.iloc[:,:-1],df.iloc[:,-1]
+    clf = RandomForestClassifier(random_state=9)
+    model = SelectFromModel(clf)
+    model.fit_transform(X,y)
+    return X.columns.values[model.get_support()].tolist()
+
+
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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