90909 - Workshop 2 (WS9)

Academic Year 2021/2022

Learning outcomes

Workshops are designed to provide students with transversal skills that can prove useful in their future careers. The objective of the workshop is to help students to practice skills through application of information technology, data analysis, decision-making techniques (e.g. simulation) in complex organizations.

Course contents

- Machine Learning classification algorithms for numeric data sets: Knn, SVM, Decision Tress, Random Forrest. Evaluation metrics.

-Short introduction to neural networks. Examples of neural networks for classification.

- Examples and exercises in Python od numeric data sets classification.

Teaching methods

All the lessons will be on Teams using cloud tools.

Assessment methods

Final report

Office hours

See the website of Elena Loli Piccolomini