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Final Project submitted CIS 600 Data Mining Course Spring 2020. Supervised ML project on a job posting dataset to predict fake postings.

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Using Supervised ML Classifiers to Identify Fake Job Postings

Final project for CIS 600 - Data Mining at Syracuse University Spring 2020 Term.

Dataset: https://www.kaggle.com/shivamb/real-or-fake-fake-jobposting-prediction/kernels

This project involved training and evaluating several supervised learning models to predict false job postings in a dataset of ~18k postings. The results and performance metrics are are captured in the ppt presentation and pdf writeup in this repository.

Installation

Source code can be downloaded in either html or ipynb format Notebook includes code to output classifier model results to .csv format

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

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Final Project submitted CIS 600 Data Mining Course Spring 2020. Supervised ML project on a job posting dataset to predict fake postings.

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