Laboratory "text Data for Trading"
A.Y. 2022/2023
Learning objectives
Partner company: Ammagamma
Comprehension of AI key concepts in the financial area, with an in-depth analysis of Time Series forecasting and Natural Processing methods.
Comprehension of AI key concepts in the financial area, with an in-depth analysis of Time Series forecasting and Natural Processing methods.
Expected learning outcomes
Use of Prophet for time series forecasting, Spacy for NLP and software development with Python.
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Third trimester
INF/01 - INFORMATICS
SECS-S/01 - STATISTICS
SECS-S/01 - STATISTICS
Laboratory activity: 20 hours