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Discovering demographic disparities as they pertain to speed dating & unveiling the true indicators of a match.

License: MIT License

Jupyter Notebook 100.00%

speed-dating's Introduction

Speed-Dating-Binary-Classification

Topic

  • What are people's expectations going into speed-dating events?
  • Are there differences in interests between genders?
  • Are there discrepancies between races on their emphasis of sharing a religion or race?
  • What are the real deciding factors for a match?

Methodology

All these questions are examined within this notebook using Python:

  • Data acquisition, cleaning, and wrangling using NumPy & Pandas
  • Data visualization using Matplotlib & Seaborn
  • Binary classification modeling using Scikit-learn
    • Logistic regression
    • SVM
    • Random Forest

Author(s)

  • Aaron Tang - Start to finish

License

This project is licensed under the MIT License - see the LICENSE file for details

speed-dating's People

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