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.
Author: | Colin Theimer |
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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 |