hyunblee/ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로
This project helps data analysts and aspiring data scientists understand and apply fundamental statistical learning techniques using Python. It translates concepts from 'Introduction to Statistical Learning with R' into practical Python examples, showing how to use common libraries like scikit-learn and statsmodels. Users will input datasets and learn to build, evaluate, and tune various predictive models.
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Use this if you want to learn how to apply key statistical learning methods for prediction and analysis using Python, mirroring a popular textbook's examples.
Not ideal if you are looking for advanced, production-ready machine learning solutions or a purely theoretical statistical learning resource without practical code.
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Jupyter Notebook
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Last pushed
Nov 25, 2017
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