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Analyzing large Datasets and predicting Outcomes using State of the Art Data Science Methods by taking the Example of the Mercedes-Benz Greener Manufacturing Campaign

  • This paper is detailing a basic approach to solve Data Science Problems, going over the stages of analyzing the data, preparing it and finally solving the task using algorithms ranging from basic linear regression models up to complex neural networks in the likes of Keras.

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Metadaten
Author:Colin Theimer
DOI:https://doi.org/10.13140/RG.2.2.29958.04162
Parent Title (German):Technical Reports in Computing Science
Series (Serial Number):Technical Reports in Computing Science – Schriftenreihe Informatik der HS Kempten (July 2021)
Publisher:Hochschule Kempten, Fakultät Informatik
Place of publication:Kempten
Document Type:Preprint
Language:English
Date of Publication (online):2021/07/01
Year of first Publication:2021
Publishing Institution:Hochschule für angewandte Wissenschaften Kempten
Issue:July 2021
Number of pages:5 Seiten
First Page:1
Last Page:5
Institutes:Fakultät Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme
Open Access:open_access
Research focus:FSP2: Mobilität
Publication reviewed:nicht begutachtet
Release Date:2023/03/01
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