ISLR-python
AI-Hacktoberfest
| ISLR-python | AI-Hacktoberfest | |
|---|---|---|
| 10 | 1 | |
| 4,209 | 11 | |
| - | - | |
| 0.0 | 3.2 | |
| over 1 year ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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ISLR-python
- How is this for a Data Analysis roadmap?
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DATA SCIENTIST ROADMAP
3) Then, work through the ISLR book: Book: https://www.statlearning.com/ Video: https://www.youtube.com/playlist?list=PLoROMvodv4rOzrYsAxzQyHb8n_RWNuS1e Jupyter Notebooks (Python version): https://github.com/JWarmenhoven/ISLR-python
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[E] Please recommend statistics books for a beginner for data science.
Also, if you know you’re going to be using Python, you can find repos out there with the code converted from R to Python on Github. Ex: https://github.com/JWarmenhoven/ISLR-python
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Have you found it impeding that the exercises in Intro to Statistical learning are in R?
Lots of people redid the labs in Python if you really want Python instead, a quick google search gave me https://github.com/alexandrasouly/ISLR-but-python and https://github.com/JWarmenhoven/ISLR-python
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ESL vs ISLR books?
Here or here for the Python versions of ISLR.
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Low Level Books or Courses
I don't think many people know this, but there's actually a very helpful Python Github repo to accompany the ISLR book (which uses R). Hope this helps :D
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Looking for resources to get better at statistics
People have also recreated the examples in Python if that is your preferred language.
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I want to learn machine learning and I want to make small projects in the future. Where do I start? Any tips and advice?
ISLR Code in Python
- Help with An Introduction to Statistical Learning: Figure 1.3
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Maths for Deep Learning (mainly computer vision)
I am facing the same problem! I worked through the fastai tutorials for land classification purposes and felt there was a real gap between what I was doing in Python and what I actually understood. I found the fastai tutorials were a great start when followed by a math refresher like the introduction to statistical learning (ISLR) from Stanford. I know Stanford was changing its online class format on the Lagunita platform, but hopefully its still free and online. The profs wrote it in R, but here is a python wprkthrough. (https://github.com/JWarmenhoven/ISLR-python).
AI-Hacktoberfest
What are some alternatives?
An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
datacamp - 🍧 DataCamp data-science and machine learning courses
ISL-python - Porting the R code in ISL to python. Labs and exercises
smt - Surrogate Modeling Toolbox
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
ISLR-but-python - This repository contains labs rewritten in Python for the book An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie, Tibshirani (2013)
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
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
pydata-book - Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media