University of Cagliari
09 July 2019
This seminar is offered by Linkalab (https://www.linkalab.it) and it is targeted to students who are familiar with machine learning methodologies and techniques.
A crash course in modern data analysis with Python, Pandas, and classical machine learning.
You'll learn the art of data wrangling with Pandas and how to use orange3 to perform automatic ML tasks on custom datasets.
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A working installation of Python Anaconda 3 is required to follow the lessons
First day
July 24th, 11-13 - 14:30-17:30 Room Q (Building I, Faculty of Engineering and Architecture, Piazza D'Armi)
- python/pandas for data wrangling (crash course)
- classical machine learning recall
Second day
July 25th, 11-13 - 14:30-17:30 Lab LIDIA Software (Building N1, Faculty of Engineering and Architecture, Via Is Maglias)
- examples in pandas e seaborn
- using orange3
A project should be completed by July 29th 13:00.
Evaluation and discussione of the project, July 29th 15:00 - 17:00 Lab LIDIA Software (Building N1, Faculty of Engineering and Architecture, Via Is Maglias)