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A comparison of two neural networks as a project during my Data Science MSc

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Neural Network Comparison

A comparison of two neural networks as a project during my Data Science MSc

How to run model testing code:

  • Ensure .zip is unzipped
  • Go to ‘Model Testing’ section in python notebook (use Table of Contents to easily get there)
  • Run all cells in section to view model testing results

The code has been tested in an environment running Python 3 (3.7.13) with the following packages installed: pandas, numpy, matplotlib, imblearn, sklearn, joblib

The full datatset has been included in the zip file (‘bank.csv’) should you want to run the full code, but only the test sets (X_test.csv, y_test.csv) and the models (SVM_Best.joblib, MLP_Best.joblib) are needed to run the model testing section.

The PDF report of the model comparison can be viewed as 'Report.pdf' above

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