Gressling/examples
Examples for the book 'Data Science in Chemistry', ISBN: 978-3-11-062939-2, Published: 23 Nov 2020
This project provides practical examples for chemists looking to apply data science methods to their work. It takes raw chemical data and processes it using techniques like artificial intelligence and big data to uncover deeper insights. Chemists, chemical engineers, and researchers can use these examples to enhance their understanding and application of data science in chemical research.
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Use this if you are a chemist or chemical engineer wanting to learn how to leverage data science, AI, and big data to analyze chemical information and improve your research.
Not ideal if you are looking for a general introduction to data science outside the context of chemistry, or if you primarily work with quantum computing problems.
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16
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19
Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 26, 2021
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