Title | Platforms | ![]() |
Duration | 2 x 45 | |
Module | A | |
Lesson Type | Practical | |
Focus | Practical - AI Modelling | |
Topic | Data analysis |
basic Python,basic Pandas,variables,lists,strings,tuple,data loading from csv,data lookup,
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The materials of this learning event are available under CC BY-NC-SA 4.0.
This learning event consist of laboratory tasks that shall be solved by the students with the help of the leading instructor.
You can base this class around the Notebooks.
Duration (min) | Description | Concepts |
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45 | Python | variables, lists, strings, tuple |
5 | pandas | data loading from table |
10 | pandas | data / table information: head, shape, info |
5 | pandas | df.loc |
5 | pandas | df.iloc |
5 | pandas | df.str.split |
5 | pandas | date conversion |
10 | pandas | groupby, sort |
Click here for an overview of all lesson plans of the master human centred AI
Please visit the home page of the consortium HCAIM
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The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068. The materials of this learning event are available under CC BY-NC-SA 4.0
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The HCAIM consortium consists of three excellence centres, three SMEs and four Universities |