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Concertgoer_Enjoyment_Prediction_INF8245E

Kaggle competition as part of the course INF8245E Machine Learning that I took during my exchange year at Polytechnique Montréal. The objective of this competition was to use our learnings from the course to create a prediction model for concertgoer enjoyment based on tabular data. The dataset included data about the venue, the band and the concertgoer.

The repository includes

  • 1 Jupyter notebook with only the best-performing classifier
  • 1 Jupyter notebook with all classifiers that we trained and tested during the Kaggle competition
  • Our final report where we discuss our approach and the different classifiers that we trained and tested

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Machine learning model to predict concertgoer enjoyment

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