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Cleaned code of the winning submission of the Kaggle Recruiting Competition
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Candidate selection Update getTopKNNDT.R Feb 10, 2018
Common Cleaned Facebook V code Jul 7, 2016
Downsampling Cleaned Facebook V code Jul 7, 2016
Evaluate predictions Cleaned Facebook V code Jul 7, 2016
Exploratory analysis Removed irrelevant exploratory plots Jul 7, 2016
Feature engineering Cleaned Facebook V code Jul 7, 2016
First level learners Cleaned Facebook V code Jul 7, 2016
Second level learners
Submission Removed outdated function from getTopKNNDT Jul 7, 2016
Instructions.docx Added computation time estimate to Instructions Jul 8, 2016
Instructions.pdf Undo new tab hyperlink Jun 7, 2019

Facebook V: Predicting Check Ins

Cleaned winning code of the fifth Facebook recruiting Kaggle competition.

The article on my blog explains the details of the approach.

High level instructions to go from the raw data to the winning submission are mentioned in the "Instructions" pdf. Please feel free to discuss anything that might be unclear in the topic of the winning submission:

Also make sure to check out my exploratory analysis Shiny application:

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