Predicting job salaries from ads - a Kaggle competition

Last update: Oct 23, 2020

Overview

Predicting advertised salaries

See http://fastml.com/predicting-advertised-salaries/ for description.

2vw.py - convert a combined train+test file to VW format
2vw_loc.py - the same, but for data transformed with update_locations.py
add_dummy_salaries.py - add dummy salaries columns (2) to a test file; drop headers
first.py - Take some lines from the input file and save them to the output file
split.py - split a file into two randomly, line by line
unlog_predictions.r - convert VW's log predictions back to a normal scale by taking exp()
update_locations.py - replace location columns from the original file with parsed location (five columns) - slightly buggy
update_locations_fixed.py - a fixed version of update_locations.py

Owner

Zygmunt Zając

I should have learned to play the guitar / I should have learned to play them drums

GitHub Repository http://fastml.com/predicting-advertised-salaries/

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Predicting job salaries from ads - a Kaggle competition

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