General Information
SSD: ING-INF/05
CFU: 8
Professor: Flavio Giobergia
Teaching Assistants: Matteo Berta, Claudio Savelli, Lorenzo Vaiani
Teaching Material
Data science
This section will contain the slides of the data science course.
- Course introduction (slides)
- Introduction to data science & machine learning (slides)
- Data preprocessing (slides)
- Classification fundamentals (slides)
Python
This section will contain the slides of the data science course.
Other material
- Python introduction material (from A.Y. 2024/25)
- Data exploration on the Ames Housing Dataset (ipynb, Kaggle dataset) – [8/10 and 13/10/2025 lectures]
Laboratory Material
This section will contain all the material for carrying out laboratories. No laboratory will be evaluated and assigned a mark, so no laboratory will give additional points to the final exam.
Material
Team organization
Students will be divided into three groups based on course overlaps and surname. Please ensure you attend the correct slot to ensure there is enough space for everyone during the laboratories.
You can use the following rule:
- If you are a student of Processi Stocastici or Bioquants, or your last name is from “AA” to “HU” ⇒ Monday, 10:00–13:00, LAIB3B
- If you are a student of Numerical Optimization, or your last name is from “IA” to “MU” ⇒ Tuesday, 08:30–11:30, LAIB2B
- If your last name is from “NA” to “ZZ” ⇒ Thursday, 10:00–13:00, Aula 5T