/kyc_interview

Exercise given by KYC Station

Primary LanguageJupyter Notebook

Deliverable: the read.me

  • As much as I would like to continue, I timed this and already spent around 12 hours of work in the exercise (including reading and trying to understand the paper).

  • The exercise was developed in python, in a jupyter notebook and used the following libraries: pandas, numpy, matplotlib, re, sklearn, collections, string, urllib, wordcloud and other minor python libraries

  • 12 hours of work have passed

  • Completely fulfilled points from 1 to 3. Started number 4 but didn't advance much.

  • To run, just open the notebook on a jupyter server and have all of the libraries installed.

  • I chose this format and technologies because it's the easiest to research on when you're working on data science*

  • The project is public in https://github.com/alexing10/kyc_interview

================================== The task is KYC Station proprietary and confidential (c) 2017