farhad-pourkamali/machine-learning
Slides and Python code examples for undergraduate machine learning
This is an introductory course on machine learning concepts and algorithms, ideal for undergraduate students or anyone new to the field. It covers foundational theory and practical application using Python, starting with data and ending with a trained model that can classify, cluster, or make predictions. Aspiring data scientists, machine learning engineers, and researchers seeking a comprehensive introduction will find this valuable.
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Use this if you are an undergraduate student or a beginner wanting to learn the core concepts and practical implementation of machine learning and neural networks using Python.
Not ideal if you are an experienced machine learning practitioner looking for advanced research topics or production-level deployment strategies.
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Jupyter Notebook
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Last pushed
Apr 17, 2022
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