Description:

Gensim is a machine learning package for natural language understanding. For example, it can tell you the main topics of a web-page. It has word2vec and doc2vec machine learning algorithms

During the coding sprint we plan to re-work our tutorials. See them listed on our github page at https://github.com/RaRe-Technologies/gensim/blob/develop/tutorials.md Come to the sprint and improve them or create new ones!

Prerequisites:

Open to beginners.

No machine learning experience necessary.

Some Python knowledge required. You need to know what a for loop is but no need to know what zip* does.

________Environment setup:_____

Python 3

pip3 install cython gensim sklearn pandas matplotlib nltk pyemd jupyter

The tutorials that need improvement are in https://github.com/RaRe-Technologies/gensim/blob/develop/tutorials.md

Content URLs:

https://github.com/RaRe-Technologies/gensim

Speaker Info:

Lev Konstantinovskiy is a maintainer of Gensim.

He is an expert in natural language processing, is a Python and Java developer. Lev has extensive experience working with financial institutions and is RaRe Technologies' manager of open source communities including gensim, an open source machine learning toolkit for understanding human language.

Speaker Links:

https://uk.linkedin.com/in/levkonst