Vienna Kaggle Coding Session November

After our great return last month we'll meet again on 24 November.

This time Virtual Identity/Knallgrau (Schönbrunner Straße 213-215, 1120 Wien) will not only provide the location but also sponsor drinks for us.

In this session we'll continue working on the Santander Product Recommendation competition (https://www.kaggle.com/c/santander-product-recommendation) from kaggle.com (https://www.kaggle.com) and discuss our insights, progress and where we are stuck.

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Please make sure you bring your laptop and all your questions about data mining and machine learning to the Coding Session!

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For beginners: don't be shy, we are all keen to help you get started with kaggle, data mining, machine learning or even python and the scientific stack (numpy, pandas, sklearn, etc.). So come by and enjoy some ML fun.

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If you are completely new to Machine Learning you can check out a few resources for a smooth start. Most of us will use IPython (Jupyter) - but you don't have to. Here are some resources to get started:

• http://viennakaggle.github.io/meetup/2015/11/20/second-meetup.html

• http://cs231n.github.io/python-numpy-tutorial/

• http://cs231n.github.io/ipython-tutorial/

• http://pandas.pydata.org/pandas-docs/stable/10min.html

• http://www.add-for.com/guidelines.php

• https://github.com/addfor/tutorials

• https://github.com/databriefing/databriefing-vm

Please take a look at viennakaggle.at (http://viennakaggle.at/) for further information about the past Meetups.