Lug 102019
 

This seminar is offered by Linkalab (https://www.linkalab.it).

The basic knowledge of machine learning methodologies and techniques is required to attend this course.

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.

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)

Modulo di iscrizione al seminario

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