This is a project by Asmir Muminovic and Lukas Kolbe, which was created for the Applied Predictive Analytics class held by the Chair of Information Systems at the Humboldt University of Berlin
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Updated
Sep 30, 2020 - R
This is a project by Asmir Muminovic and Lukas Kolbe, which was created for the Applied Predictive Analytics class held by the Chair of Information Systems at the Humboldt University of Berlin
This project conducts price analytics and suggests optimal prices for Kellogg's cereals that would solidify Kellogg's market dominance.
Marble plate slicing algorithm that optimizes profit and reduces waste. First project for Analysis and Synthesis of Algorithms class.
Maximizing toy production profits with a linear programming approach using PuLP library in Python. Third project for Analysis and Synthesis of Algorithms class.
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