KarimABOUSSELHAM/ISLP-applied-solutions
Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023
This resource provides practical solutions to the applied exercises found in "An Introduction to Statistical Learning with Applications in Python." It helps you understand how to apply various statistical and machine learning techniques to real-world datasets. You'll input problem descriptions and data from the textbook, and get fully worked-out examples demonstrating solutions. This is ideal for students, data analysts, or anyone learning statistical modeling and machine learning.
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Use this if you are studying statistical learning from "An Introduction to Statistical Learning with Applications in Python" and need clear, step-by-step solutions to the practical exercises.
Not ideal if you are looking for a standalone course or theoretical explanations of statistical learning concepts, as it's designed to complement the textbook.
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Jupyter Notebook
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MIT
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Last pushed
Oct 30, 2023
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