Mohamed-Badry/islp-solutions
Jupyter Notebook solutions to the exercises in the book Introduction to Statistical Learning with Python.
This project provides detailed, step-by-step solutions to the exercises found in the textbook "An Introduction to Statistical Learning with Python" (ISLP). It takes the conceptual and applied problems from the book and delivers ready-to-run code and explanations, allowing you to check your understanding and see practical implementations. This resource is perfect for students, self-learners, or professionals looking to deepen their understanding of statistical learning techniques.
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Use this if you are studying "An Introduction to Statistical Learning with Python" and need to verify your solutions or understand how to approach the programming exercises.
Not ideal if you are looking for a standalone statistical learning course or a reference guide that isn't tied to the ISLP textbook.
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Jupyter Notebook
License
MIT
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Last pushed
Aug 17, 2025
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