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<div id="day2" class="tab-pane fade">
<p></p><center><h4>11 Dec 2016: Day 2</h4></center>
<table class="table table-bordered">
- <tbody><tr style="background-color:#f0f0f0">
- <td>Conference and talks </td>
+ <tbody>
+ <th style="font-weight:700; font-size :20px"><center>Talk</center></th>
+ <th style="font-weight:700; font-size :20px">Speaker</th>
+ <tr>
+ <td>Package ensemble : A package to create ensemble Machine Learning models</td>
+ <td>Prajwal Kailas </td>
+ </tr>
+ <tr>
+ <td>Python & Caffe : Getting started with Deep Learning / Deep Learning Demystified</td>
+ <td>Saurabh Kumar</td>
+ </tr>
+ <tr>
+ <td>Extracting structured data from Millions of Mobile SMS Messages - From Conception to Production</td>
+ <td>Vineesha Budhrani</td>
+ </tr>
+ <tr>
+ <td>Using Analytics to Unpack Your Financial Biography from CIBIL</td>
+ <td>Kedar Deore</td>
+ </tr>
+ <tr>
+ <td>Scientific Python in Disaster Simulation and Visualization : Modeling and Simulation of WildlandFire Spread using CAN Model</td>
+ <td>Gugan Selvaraj</td>
+ </tr>
+ <tr>
+ <td>Processing medium-sized data with Python, Pandas and Postgres</td>
+ <td>Chinmay Kanchi</td>
+ </tr>
+ <tr>
+ <td>Learn the Brain with Nilearn</td>
+ <td>Kamalaker Dadi</td>
+ </tr>
+ <tr>
+ <td>Developing Python Backends for Machine Learning Applications</td>
+ <td>Jaidev Deshpande</td>
+ </tr>
+ <tr>
+ <td>Good Enough Practices for Scientific Computing in Python</td>
+ <td>Pankaj Pandey</td>
+ </tr>
+ <tr>
+ <td>Compressive Sensing: A glimpse into the Magic Reconstruction using Python</td>
+ <td>Saurabh Kumar</td>
+ </tr>
+ <tr>
+ <td>Raspberry PI based Smart Greenhouse for environment monitoring and control</td>
+ <td>Saiprasad Barke</td>
</tr>
</tbody></table>