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2+ "cells" : [
3+ {
4+ "cell_type" : " markdown" ,
5+ "metadata" : {
6+ "collapsed" : true
7+ },
8+ "source" : [
9+ " # Scikit-learn Tutorial"
10+ ]
11+ },
12+ {
13+ "cell_type" : " markdown" ,
14+ "metadata" : {},
15+ "source" : [
16+ " Coming up!"
17+ ]
18+ },
19+ {
20+ "cell_type" : " code" ,
21+ "execution_count" : null ,
22+ "metadata" : {
23+ "collapsed" : true
24+ },
25+ "outputs" : [],
26+ "source" : []
27+ },
28+ {
29+ "cell_type" : " code" ,
30+ "execution_count" : null ,
31+ "metadata" : {
32+ "collapsed" : true
33+ },
34+ "outputs" : [],
35+ "source" : []
36+ }
37+ ],
38+ "metadata" : {
39+ "kernelspec" : {
40+ "display_name" : " Python 2" ,
41+ "language" : " python" ,
42+ "name" : " python2"
43+ },
44+ "language_info" : {
45+ "codemirror_mode" : {
46+ "name" : " ipython" ,
47+ "version" : 2
48+ },
49+ "file_extension" : " .py" ,
50+ "mimetype" : " text/x-python" ,
51+ "name" : " python" ,
52+ "nbconvert_exporter" : " python" ,
53+ "pygments_lexer" : " ipython2" ,
54+ "version" : " 2.7.10"
55+ }
56+ },
57+ "nbformat" : 4 ,
58+ "nbformat_minor" : 0
59+ }
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