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the-elements-of-statistical-learning
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MIT License | MIT License |
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the-elements-of-statistical-learning
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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...
What are some alternatives?
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
Sharing_ISL_python - An Introduction to Statistical Learning with Applications in PYTHON
College-Work - Assignment Solutions
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Python-Bible - Resourceful Python Collection
logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.
ta - Technical Analysis Library using Pandas and Numpy
carbon-simulator - This is an open-source python package developed by Bancor Research. It is meant to assist in the design, testing, and validating of the Carbon Protocol.