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Kaggle Competition for Comp 551 (Applied Machine Learning) course at McGill University

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Comp 551 (Applied Machine Learning) Kaggle Competition

Statement for the competition.

Examine the code for the competition by unzipping the submission file.

After unzipping the file, follow the instructions below:

  1. The preprocessed data already exists in the code/datasets directory. It was generated using pre_processing.ipynb.

  2. Other notebooks included are TestingClassifiers.ipynb, neural_net.ipynb and knn.ipynb. The first one contains code for the baseline classifiers, the second one contains code for the neural network and the third one contains code for the k-nearest neighbours approach.

  3. Install modules that may be missing on your system upon running of the notebooks.

Final report of the competition.

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Kaggle Competition for Comp 551 (Applied Machine Learning) course at McGill University

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