-
Notifications
You must be signed in to change notification settings - Fork 61
/
workshop-prerequisites.html
267 lines (249 loc) · 12.1 KB
/
workshop-prerequisites.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
<!DOCTYPE html>
<html lang="en">
<!-- canonical URL -->
<link rel="canonical" href="https://in.pycon.org/2018/convince-my-boss.html">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="PyCon India, the premier conference in India on using and developing the Python programming language is conducted annually by the Python developer community and it attracts the best Python programmers from across the country and abroad.">
<meta name="author" content="">
<title>PyCon India 2018 in Hyderabad | October 5th to 9th</title>
<!-- Bootstrap Core CSS -->
<link href="custom/css/bootstrap.min.css" rel="stylesheet" type="text/css">
<!-- Font Awesome Icons -->
<link rel="stylesheet" href="./font-awesome/css/font-awesome.min.css">
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-111617773-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'UA-111617773-1');
</script>
<!-- Fonts -->
<link href="font-awesome/css/font-awesome.min.css" rel="stylesheet" type="text/css">
<link href="custom/css/animate.css" rel="stylesheet" />
<link href="custom/css/style.css" rel="stylesheet">
<link href="custom/css/scroll.css" rel="stylesheet">
<link href="custom/css/reset.css" rel="stylesheet">
<link href="custom/css/default.css" rel="stylesheet">
<link href="custom/css/buttons.css" rel="stylesheet">
<!-- Favicon -->
<link rel="shortcut icon" href="img/favicon.png">
<!-- Add icon library -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<!-- Add font library -->
<link href="https://fonts.googleapis.com/css?family=Montserrat+Alternates:300,400,500,600" rel="stylesheet">
<link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700" rel="stylesheet">
</head>
<body id="page-top" data-spy="scroll" data-target=".navbar-custom">
<!-- Preloader -->
<!-- <div id="preloader">
<div id="load"></div>
</div> -->
<nav class="navbar navbar-custom navbar-fixed-top top-nav-collapse">
<div class="container" style="width: 1170px;">
<a class="navbar-brand" rel="home" href="https://in.pycon.org/2018/" title="PyCon India 2018">
<img src="./img/banner-logo.png" class="nav-logo" alt="banner-logo">
</a>
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1" aria-expanded="false">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
</div>
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav">
<li><a href="index.html#journey">Journey</a></li>
<li><a href="index.html#speakers">Keynotes</a></li>
<li><a href="index.html#schedule">Schedule</a></li>
<li class="dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#">Events<span class="caret"></span>
<ul class="dropdown-menu">
<li><a href="https://in.pycon.org/cfp/devsprint-2018/proposals/">Devsprints</a></li>
<li><a href="open-spaces.html">Open Spaces</a></li>
</ul>
</li>
<li><a href="index.html#sponsors">Sponsors</a></li>
<li><a href="https://in.pycon.org/blog/">Blog</a></li>
<li class="dropdown">
<a class="dropdown-toggle" data-toggle="dropdown" href="#">Attend<span class="caret"></span>
<ul class="dropdown-menu">
<li><a href="index.html#tickets">Tickets</a></li>
<li><a href="index.html#venue">Venue</a></li>
<li><a href="travel.html">Traveling to Hyderabad</a></li>
<li><a href="hotels.html">Hotels</a></li>
<li><a href="https://goo.gl/forms/iqZ8I3xfzcXXLxQq2">Childcare</a></li>
</ul>
</li>
<li><a href="faq.html">FAQ</a></li>
<li class="dropdown active">
<a class="dropdown-toggle" data-toggle="dropdown" href="#">More<span class="caret"></span>
<ul class="dropdown-menu">
<li><a href="volunteer.html">Volunteer</a></li>
<li><a href="https://goo.gl/forms/R4g5sxjZIXezvp7z1">Community Spaces</a></li>
<li><a href="coc.html">COC</a></li>
<li><a href="index.html#contact">Contact</a></li>
</ul>
</li>
</ul>
</div>
</div>
</nav>
<!-- Section: about -->
<section id="faq" class="home-section splitsection" style="margin-top:0">
<div class="heading-about">
<div class="container">
<h2 class="small-caps center">Workshop Prerequisites</h2>
<p class="mb-4">
Below are the prerequisites detailed for the workshops either by a Keynote or a Sponsor. All other workshop details can be seen from the <a href="https://in.pycon.org/cfp/2018/proposals/"><strong>CFP</strong></a> itself.
</p>
<hr>
<section id="keynote1" class="workshops">
<div class="workshop-spacing"></div>
<h3>Jupyter hub and Binder</h3>
<h4>by Carol Wiling</h4>
<p class="mb-4">
<strong>Abstract -</strong>
We'll take an in-depth look at JupyterLab and its use for data science and scientific computing. We'll look at the new user interface functionality available to users of JupyterLab. Later, we will move beyond an individual's workflow with JupyterLab and see how JupyterHub brings JupyterLab to groups of users. We'll wrap up with a discussion of Binder and its ability to provide ephemeral computing environments for Jupyter notebooks and beyond.
</p>
</section>
<hr>
<h3>Sponsored Workshops</h3>
<hr>
<section id="sponsor1" class="workshops">
<h3>Understanding NLP - What's the feeling ?</h3>
<h4>By Lakshya Sivaramakrishnan (Google)</h4>
<p class="mb-4">
<strong>Abstract -</strong>
This intermediate level talk would cover the basics required for natural language processing using NLTK in Python. We would then see it working in action through a sentiment analysis use-case.
<br>
<strong>Prerequisites - </strong>
Basic knowledge of Python.
</p>
</section>
<hr>
<section id="sponsor2" class="workshops">
<h3>Programming a Quantum Computer using Cirq</h3>
<h4>by Vamsi Krishna Devabathini (Google)</h4>
<p class="mb-4">
<strong>Abstract -</strong>
This intermediate level workshop will focus on introduction to quantum computing and <a href="https://github.com/quantumlib/Cirq">Cirq</a>, python framework for creating quantum programming. It also includes a hands on tutorials implementing simple quantum algorithm(s) using Cirq.
<br>
<strong>Prerequisites - </strong>
Basic knowledge of Python. Knowledge of Quantum computing is a plus but not required.
</p>
</section>
<hr>
<section id="sponsor3" class="workshops">
<h3>Python ML On the Cloud</h3>
<h4>By Krishna Balaga (IBM)</h4>
<p class="mb-4">
<strong>Abstract -</strong>
A no tricks under the sleeve session with pure python at its heart for understanding and
Solving Machine Learning problems. This can be categorized as a beginner level workshop
on how to get the basics right. We start with a problem statement and then proceed with
obtaining the required dataset, getting it ready for our ML model, build and evaluate the
model and finally we teach you how to host your ML model on the cloud so that it's just an
API call away. By the end of the session, you will be able to scheme out a healthy approach
to any harder set of machine learning problems.
<br>
<strong>Agenda - </strong>
<ol>
<li>Introduction to Machine Learning
<ul style="list-style-type:disc">
<li>AI vs ML vs DL</li>
<li>Supervised vs Unsupervised</li>
<li>Ml Algorithms and its use cases</li>
</ul>
</li>
<li>Machine Learning Pipeline
<ul style="list-style-type:disc">
<li> Golden Rule of ML</li>
<li>Goals of Pre-processing
<ul style="list-style-type:circle">
<li>Handling missing data</li>
<li>Data Transformation</li>
<li>Outliers</li>
<li>Categorical Data</li>
</ul>
</li>
<li>Feature Extraction
<ul style="list-style-type:circle">
<li>Co-relation of Features</li>
<li>Dimensionality Reduction</li>
<li>PCA</li>
</ul>
</li>
<li>Model Training
<ul style="list-style-type:circle">
<li>Linear Regression</li>
<li>Decision Tree</li>
<li>Ensemble Models</li>
<li>Feedback and Deployment</li>
</ul>
</li>
</ul>
</li>
<li>Train a Logistic Regression Model (HANDS ON Lab)
<ul style="list-style-type:disc">
<li>Hands-on</li>
<li>Loading the data and connecting to Cloud Object Storage</li>
<li>Splitting the data, Feature Engineering and model fitment</li>
</ul>
</li>
<li>Model Evaluation and improvisation
<ul style="list-style-type:disc">
<li>ROC Analysis</li>
<li>Hyper-Parameter Optimization</li>
</ul>
</li>
<li>Exporting the Model as an API endpoint
<ul style="list-style-type:disc">
<li>Python notebook based code demonstration</li>
</ul>
</li>
</ol>
</p>
</section>
</div>
</div>
</section>
<footer>
<div class="container">
<div class="row">
<div class="col-md-4">
<p>Copyright © 2018 Python Software Society of India</p>
</div>
<div class="col-md-4">
<img src="img/footer-logo.png" alt="image">
<br>
<br>
<ul class="list-inline">
<li><a href="https://www.facebook.com/PyConIndia" target="_blank" class="icon"><i class="fa fa-facebook" aria-hidden="true"></i></a></li>
<li><a href="https://twitter.com/pyconindia" target="_blank" class="icon"><i class="fa fa-twitter" aria-hidden="true"></i></a></li>
<li><a href="https://mail.python.org/mailman/listinfo/inpycon" target="_blank" class="icon"><i class="fa fa-envelope" aria-hidden="true"></i></a></li>
<li><a href="mailto:tickets@hydpy.org" class="icon"><i class="fa fa-ticket" aria-hidden="true"></i></a></li>
</ul>
</div>
<div class="col-md-4">
<a href="http://webchirpy.com" target="_blank">
<img src="img/wc.png" alt="image" class="pull-right img-responsive"> </a>
</div>
</div>
</div>
</footer>
<!--Core Javascript Files-->
<script src="js/jquery.min.js"></script>
<script src="js/bootstrap.min.js"></script>
<script src="js/jquery.easing.min.js"></script>
<script src="js/jquery.scrollTo.js"></script>
<script src="js/wow.min.js"></script>
<script src="js/custom.js"></script>
<script src="js/jtline.js"></script>
<script src="js/canvas.js"></script>
</body>
</html>