rasbt/posit2023-python-ml
Workshop materials for posit::conf(2023)
This workshop material helps researchers, programmers, and engineers learn how to apply machine learning and deep learning techniques to real-world problems. It guides you through using Python libraries to build predictive models from various data types like tabular data, images, and text. The end-user persona is a scientific computing practitioner or problem solver interested in leveraging Python for predictive modeling.
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Use this if you want to understand fundamental machine learning principles and build advanced classification pipelines for tabular data, image classification, and natural language processing tasks.
Not ideal if you are looking for an advanced deep learning research project or a production-ready MLOps solution, as this focuses on foundational learning.
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Sep 18, 2023
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