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https://github.com/alessandrosocc/machine-learning-project-2022

Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.
https://github.com/alessandrosocc/machine-learning-project-2022

imblearn machine-learning matplotlib-pyplot oversampling pandas scikit-learn spambase-dataset undersampling

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Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

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# Spambase: a binary classification problem
Final Project for the Machine Learning Course in 2022 at University of Cagliari.
## The Project
Analysis of the dataset "Spambase". Use of Machine Learning with Oversampling and Undersampling techniques using scikit-learn, pandas, matplotlib and imblearn. Final report with the results obtained.

The project consists of two versions:
- CLI version
- Run the file main.py
- GUI version
- Run the file mainWindow.py

You can import the environment with: `conda env create -n ML --file Project_ML_Env.yml`

You can find the final report here: [Final Report](RelazioneFinale.pdf)

> **Authors: Alessandro Soccol, Giovanni Murgia, Pietro Cosseddu, Marco Cosseddu, Arturo Rodriguez**