the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman (by maitbayev)
Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON (by qx0731)
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| the-elements-of-statistical-learning | Sharing_ISL_python | |
|---|---|---|
| 1 | 2 | |
| 382 | 431 | |
| - | - | |
| 1.9 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
the-elements-of-statistical-learning
Posts with mentions or reviews of the-elements-of-statistical-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2020-12-31.
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The Elements of Statistical Learning [pdf]
This collection of Jupyter notebooks that reproduces graphics and implements algorithms from the book could be a nice supplementary resource https://github.com/maitbayev/the-elements-of-statistical-lea...
Sharing_ISL_python
Posts with mentions or reviews of Sharing_ISL_python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-12.
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Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
There is a github which converts all the R to Python from this book, and that is very nice, but not quite as convenient as a new book.
What are some alternatives?
When comparing the-elements-of-statistical-learning and Sharing_ISL_python you can also consider the following projects:
ISL-python - Porting the R code in ISL to python. Labs and exercises
ISLR - Introduction to Statistical Learning
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.