In recent years, Python has established itself as the language of Data Science and Machine Learning. In this seminar, we will use a case study to demonstrate the potential of the technology. Using a prototype notebook, we will analyze the historical series of electricity demand in Italy and try to predict its evolution with a simple model. Then, we will apply some software engineering best practices to make the code modular and easily maintainable, giving a practical demonstration of some useful refactoring techniques.
Speakers
Fabio Lipreri, AI Engineer @xtream
Gabriele Orlandi, AI Scientist @xtream
The seminar is part of the Programming Laboratory course, 2024/2025 edition, and is aimed at students in the second/third year of Undergraduate Degree Courses and the second year of Graduate Degree Courses, in particular for Degree Classes L-35 (Mathematical Sciences) and LM-91 (Techniques and Methods for the Information Society).
Lecturer:
prof. Daniele Toti (daniele.toti@unicatt.it)
FOR INFORMATION
Internship & Placement
E-mail: stage-bs@unicatt.it
Telephone number: 030.2406451/289
