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Use of Machine Learning with Oversampling and Undersampling techniques using scikit-learn, pandas, matplotlib and imblearn. Final report with the results obtained.\n\n\nThe project consists of two versions:\n- CLI version \n  - Run the file main.py\n- GUI version\n  - Run the file mainWindow.py\n\n\nYou can import the environment with: `conda env create -n ML --file Project_ML_Env.yml`\n\nYou can find the final report here: [Final Report](RelazioneFinale.pdf)\n\n\n\u003e **Authors: Alessandro Soccol, Giovanni Murgia, Pietro Cosseddu, Marco Cosseddu, Arturo Rodriguez**","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falessandrosocc%2Fmachine-learning-project-2022","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falessandrosocc%2Fmachine-learning-project-2022","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falessandrosocc%2Fmachine-learning-project-2022/lists"}