- Docente: Elena Loli Piccolomini
- Credits: 4
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Politics Administration and Organization (cod. 9085)
Also valid for Second cycle degree programme (LM) in International Relations (cod. 9084)
Learning outcomes
The course aims at introducing students to the utilization of one of the main statistical packages for data analysis and presenting to them the basic elements of micro-data management and analysis. By the end of the course students will be familiar with the statistical package interface and be able to: load different types of data and different file formats into the statistical package, perform basic data management operations and conduct monovariate and multivariate statistical analyses using the software introduced during the course.
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