Solutions to Test

Solutions to Data Science Test is a Python Notebook where I describe in depth everything I did to predict churn. The document is carefully divided into sections and subsections and the reader that is interested only in a particular topic can easily find it in the Table of Contents.
- Dependencies: All *.py, *.csv, and *.jpg files found under the main folder. Please download and keep those in the same directory as the notebook.
- The Table of Contents doesn't work on GitHub, so I highly recommend opening this lengthy file with Jupyter.
sqltest is a a SQL file containing an SQL Server-like query that hopefully is a solution to the SQL Developer Test. I could not test my solution, since inputs where not given and, even if I tried to write test cases, they would not be able emulate all the complexities/possible outcomes from the real database.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
README.md		README.md
Solution to the Data Science Test.ipynb		Solution to the Data Science Test.ipynb
custom_algrt.py		custom_algrt.py
custom_manip.py		custom_manip.py
custom_plots.py		custom_plots.py
flow.png		flow.png
sqltest.sql		sqltest.sql
test_conversion.csv		test_conversion.csv
test_dataset.csv		test_dataset.csv
test_other_dataset.csv		test_other_dataset.csv
umls.png		umls.png

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