- 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)
Second cycle degree programme (LM) in International Relations (cod. 9084)
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from Nov 02, 2022 to Dec 14, 2022
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
Introduction to Machine Learning: clssification and regression.
Most popular ML algorithms for classification and regression.
Python libraries: Pandas, ScikitLearn.
Case studies on simple data sets.
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Readings/Bibliography
A. Geron, Hands-n Machine Learning with SckitLearn, Keras and Tensorflow, 2nd edition.
Teaching methods
Lessons in laboratory.
N.B. Considering the didactic methods used, to attend this activity in presence all the students must have completed modules 1 and 2 of security course [https://elearning-sicurezza.unibo.it/] in e-learning mode.
Assessment methods
Evaluation of a report from a trace given by the teacher.
Teaching tools
slides of the teacher
Office hours
See the website of Elena Loli Piccolomini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.