Machine Learning Project

This project consists in comparing different tools and models to solve a regression task, with given train and test sets.

The whole project has been written in Python 3.7.

Setup 💻

Create a virtual environment , and install the dependecies:

python3 -m venv venv

source venv/bin/activate

pip install -r requirements.txt

Tasks ✔️

Classification Task - MONK's Problem

We developed a little Neural Network, expoliting Keras library, to solve 3 (plus one with regularization) classification tasks. Results can be seen in Section 3.4 of the report.

Regression Task

We compared two models: Neural Networks (NN) and Support Vector Machines (SVM), exploiting 3 different libraries:

• Keras and PyTorch (for NN)
• scikit-learn (for SVM)

For both models we used a validation schema consisting into an exhaustive grid search and K-Fold Cross-validation tecnique for model selection and hyperparameters' tuning.

Please, read the report for a deeper description of our work.

Contributors ✨

• Jacopo Massa
• Giulio Purgatorio