21-12-13_Air-Quality-Regression

The goal of the project is to go through the CRISP-DM cycle of a Machine Learning Project. For this project in particular, that means:

The datasets

The dataset is public from the UCI ML repository.

Feature No.	Description
0	Date (DD/MM/YYYY)
1	Time (HH.MM.SS)
2	True hourly averaged concentration CO in mg/m^3 (reference analyzer)
3	PT08.S1 (tin oxide) hourly averaged sensor response (nominally CO targeted)
4	True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer)
5	True hourly averaged Benzene concentration in microg/m^3 (reference analyzer)
6	PT08.S2 (titania) hourly averaged sensor response (nominally NMHC targeted)
7	True hourly averaged NOx concentration in ppb (reference analyzer)
8	PT08.S3 (tungsten oxide) hourly averaged sensor response (nominally NOx targeted)
9	True hourly averaged NO2 concentration in microg/m^3 (reference analyzer)
10	PT08.S4 (tungsten oxide) hourly averaged sensor response (nominally NO2 targeted)
11	PT08.S5 (indium oxide) hourly averaged sensor response (nominally O3 targeted)
12	Temperature in °C
13	Relative Humidity (%)
14	AH Absolute Humidity

Depending on the number of groups and the interest of the students, a second dataset of the SOEP might be introduced.

Freitag, 2022-03-18
- Auftaktveranstaltung mit Vorstellung der neuen Projekte (und Bildung der Gruppen zur Bearbeitung)
Freitag, 2022-04-01
- Vorstellung der Planung des ersten Sprints: Analyse
Freitag, 2022-04-22
- Vorstellung der Planung des zweiten Sprints und Review+Retrospektive des ersten Sprints
Freitag, 2022-05-13
- Vorstellung der Planung des dritten Sprints und Review+Retrospektive des zweiten Sprints
Freitag, 2022-06-03
- Vorstellung der Planung des letzten Sprints und Review+Retrospektive des dritten Sprints
Freitag, 2022-07-01
- Abschlusspräsentation (sofern möglich als Postersession / alternativ online: 10:30 - 12:00 Uhr)

The colab notebook is here.