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Hire the Perfect candidate. HackerEarth Competitions solution.

License: Apache License 2.0

Python 100.00%

machine-learning nlp-machine-learning resume tfidfvectorizer countvectorizer

resume-match-nlp's Introduction

Hire-The-Perfect-Candidate(The Perfect Fit)

Platform: HackerEarth

Rank: 9th among 2381 participates.

Data description:

The dataset folder contains the following files:

train.csv: 90 x 2
test.csv: 60 x 1
trainResumes: 90 resumes that you must use for training model
testResumes: 60 resumes that you must use for testing model
Job description.pdf: PDF file that represents the job description of a Machine Learning engineer

Evaluation metric:

score = 100*max(0, 1 - metrics.mean_squared_log_error(actual, predicted))

Best Model:

LightBGM algorithm with counvectorized data has the highest score.

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