carmancater/an-introduction-to-statistical-learning-with-applications-in-python
An Introduction to Statistical Learning with Applications in Python Solutions
This resource provides detailed solutions to the exercises from the 'An Introduction to Statistical Learning with Applications in Python' (ISLP) textbook. You get problem statements and their corresponding solutions, written in Python within JupyterLab notebooks and Markdown for conceptual questions. This is for anyone studying machine learning who uses the ISLP textbook and wants to check their understanding of the concepts and applied labs.
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Use this if you are working through the ISLP textbook and need to verify your solutions to the conceptual and applied exercises using Python.
Not ideal if you are looking for an introduction to statistical learning from scratch without the ISLP textbook, or if you prefer solutions in R.
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Jupyter Notebook
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MIT
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Apr 21, 2024
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