From 63fc818a11bcb4138709cba0608e5846b4d32dfb Mon Sep 17 00:00:00 2001
From: Sakshi-BUK <sakshi.dhokrat96@gmail.com>
Date: Mon, 13 Nov 2017 09:24:26 +0000
Subject: [PATCH 1/2] Done

---
 __init__.pyc                           | Bin 160 -> 149 bytes
 q01_k_means/__init__.pyc               | Bin 172 -> 161 bytes
 q01_k_means/build.py                   |   9 ++++++---
 q01_k_means/build.pyc                  | Bin 1576 -> 861 bytes
 q01_k_means/tests/__init__.pyc         | Bin 178 -> 167 bytes
 q01_k_means/tests/test_q01_k_means.pyc | Bin 1079 -> 1046 bytes
 6 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/__init__.pyc b/__init__.pyc
index 6c0d88a7171e4be2074406a0d928e57729c2e27c..fb450927f9d67e7a635414761f56fc46782a5206 100644
GIT binary patch
delta 75
zcmZ3$IF*ru`7<xq+!W5Ji5#Zpb_@&*`WgATsrtc**~J-|x=x|q`r-LS*~JBk$*KCu
d`6)mmr?j{vwJ0+$J-(nQKPxr4M1NwvA^>Os89D#}

delta 86
zcmbQrxPXy^`7<w9NY|Oji5#X*o(v2O&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
jsg;Q(`MEI#Mfq8&$t5w#Ii<xVsYRK2>G3e3i6x2v3c4Tg

diff --git a/q01_k_means/__init__.pyc b/q01_k_means/__init__.pyc
index bff55bc80ad251cbd5d9670d4d6b73042ccc9fef..032496ea5e8a3e68f2927931c22c6e40d676c898 100644
GIT binary patch
delta 87
zcmZ3(xR8;9`7<xq+!W5Ji5#ZRUJMKj`WgATsrtc**~J-|x=x|q`r-LS*~JBk$*KCu
p`6)mmr?j{vwJ0+$J-(nQKPxr4M8D9$Fg`mzH#IS@Sbt)-A^^Vf9kc)d

delta 98
zcmZ3;xQ3B~`7<w9NY|Oji5#YWp$rTR&Q>v@#i>QbF^NeTnZ+5Y*)cAu#n~nK1u^MG
vsg;Q(`MEI#Mfq8&$t5w#Ii<xVsYRK2>G3e3LIcD2?D*W&#Ju8|i4BSXwR<F&

diff --git a/q01_k_means/build.py b/q01_k_means/build.py
index fca565c..f2a8c7c 100644
--- a/q01_k_means/build.py
+++ b/q01_k_means/build.py
@@ -1,3 +1,4 @@
+# %load q01_k_means/build.py
 # Default imports
 from sklearn.cluster import KMeans
 import matplotlib.pyplot as plt
@@ -10,7 +11,9 @@
 y_train = digits.target
 
 # Write your solution here :
+def k_means (X_train,y_train,cluster=10,random_state=9):
+    km=KMeans(init='random',n_clusters=10).fit(X_train)
+    plt.scatter(y_train,X_train[:,0,0],c=km,s=50)
+    plt.show()
 
-
-
-
+#k_means (X_train,y_train,cluster=10,random_state=9)
diff --git a/q01_k_means/build.pyc b/q01_k_means/build.pyc
index fa56657ea75eb9643051d8e13ab8aed4a48ea5dd..181b50636a65a0a7cba44f6589d5ac3d95c66316 100644
GIT binary patch
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diff --git a/q01_k_means/tests/__init__.pyc b/q01_k_means/tests/__init__.pyc
index f6a37b9ea4cc18b477a9a50a707cecf0441e6607..62a7dbac1262ca8ce59daa69e74de92a6c8c1456 100644
GIT binary patch
delta 93
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v`6)mmr?j{vwJ0+$J-(nQKPxr4M8D9$Fg`mzH#IS@SidB-xTIKr;zUINfzco|

delta 104
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zQY#Zn@^fPfit@8klS^Wfb4rU#Qj0S4(&J%5g$9Q4+3~rliFw5_C8@<F#W54x6alzw
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diff --git a/q01_k_means/tests/test_q01_k_means.pyc b/q01_k_means/tests/test_q01_k_means.pyc
index ac55928dbe7d75de8ddf35da2d9f55d8231b428d..1be215cc36feac2c43f1c47d05cf46aad0188b6b 100644
GIT binary patch
delta 251
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delta 284
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From 636523393cb59ed9ad0fdaa4f7ba5debf9c9d6ca Mon Sep 17 00:00:00 2001
From: Sakshi-BUK <sakshi.dhokrat96@gmail.com>
Date: Mon, 13 Nov 2017 09:35:24 +0000
Subject: [PATCH 2/2] Done

---
 q02_hierarchy_clustering/__init__.pyc         | Bin 180 -> 174 bytes
 q02_hierarchy_clustering/build.py             |  10 ++++++++++
 q02_hierarchy_clustering/build.pyc            | Bin 1592 -> 1151 bytes
 q02_hierarchy_clustering/tests/__init__.pyc   | Bin 186 -> 180 bytes
 .../tests/test_q02_hierarchy_clustering.pyc   | Bin 1165 -> 1147 bytes
 5 files changed, 10 insertions(+)

diff --git a/q02_hierarchy_clustering/__init__.pyc b/q02_hierarchy_clustering/__init__.pyc
index 9e9464ba38589dc79d0f25dd0ada24dc41801d81..dcfc3fa5e9bc8c53c989216ef88f1697a739a1c7 100644
GIT binary patch
delta 100
zcmdnOxQ>y7`7<xq+!W5Ji5#W@;S3B6`WgATsrtc**~J-|x=x|q`r-LS*~JBk$*KCu
u`6)mmr?j{vwJ0+$J-(nQKPxr4M8D9$C_W=IwJ5PDIioTjp+JA)WJLgc86#`}

delta 106
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diff --git a/q02_hierarchy_clustering/build.py b/q02_hierarchy_clustering/build.py
index 2ba8b26..9229d51 100644
--- a/q02_hierarchy_clustering/build.py
+++ b/q02_hierarchy_clustering/build.py
@@ -1,3 +1,4 @@
+# %load q02_hierarchy_clustering/build.py
 # Default imports
 
 import pandas as pd
@@ -10,3 +11,12 @@
 df = pd.DataFrame(scale(digits.data), index=digits.target)
 
 # Write your solution here :
+def hierarchy_clustering (df):
+    D=hierarchy.linkage(df,'average')
+    plt.figure(figsize=(25,10))
+    plt.title("Hierarchial clustering dendogram")
+    plt.xlabel('sample index')
+    plt.ylabel('distance')
+    hierarchy.dendogram(D,leaf_rotation=90.,leaf_font_size=8.)
+    plt.show()
+#hierarchy_clustering (df)
diff --git a/q02_hierarchy_clustering/build.pyc b/q02_hierarchy_clustering/build.pyc
index 59f6156d2f67bfe04690f16aeda7189548e60711..1536823358ee68f99c93b7d7199586abb2ad2c5b 100644
GIT binary patch
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diff --git a/q02_hierarchy_clustering/tests/__init__.pyc b/q02_hierarchy_clustering/tests/__init__.pyc
index bb41aeac2f4798d6b05eacac8c9cfa79636836f4..ffa80fd22773d48743945c0fbf6098aa5619c5af 100644
GIT binary patch
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diff --git a/q02_hierarchy_clustering/tests/test_q02_hierarchy_clustering.pyc b/q02_hierarchy_clustering/tests/test_q02_hierarchy_clustering.pyc
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GIT binary patch
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