machine learning
Projects with this topic
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Implementation of Adsorbate Chemical-Environment-based Graph Convolution Neural Network (ACE-GCN): framework with the ability to encode atomic configurations comprising of diverse adsorbates, binding locations, coordination environments, and variations in the substrate morphology. This workflow is used to generate and rank surface adsorbate configurations for reactions which are shown to be affected by the presence of high adsorbate surface coverage.
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Intelligente Systeme Projekt von Daniel Michalak, Jonas Baur und Thomas Kammann.
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An AI for the popular mobile game 2048.
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Using machine learning methodology to create a model that predicts which passengers survived the Titanic shipwreck under data science analysis flow from explore data analysis to model selection.
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Using the fund data from the web scraping to established the model to predict the net asset value of the fund from the data clean, data pre-processing, model established and model selection.
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Established the binary classification system to predict the client required if the bank product order; for bank marketing, this topic focus on the minority of the people who order the product.
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Penguin learning to catch fish with Unity ML.
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My bachelors's thesis (supposedly)
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