the-elements-of-statistical-learning VS College-Work

Compare the-elements-of-statistical-learning vs College-Work and see what are their differences.

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)
Machine Learning Statistics Python Python3 jupyter-notebook statistical-learning textbook
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College-Work

Assignment Solutions (by queenish001)
Cpp14 Python3 Python CPP

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the-elements-of-statistical-learning College-Work
1 1
397 0
- -
1.8 0.0
about 2 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

College-Work

Posts with mentions or reviews of College-Work. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing the-elements-of-statistical-learning and College-Work you can also consider the following projects:

ISL-python - Porting the R code in ISL to python. Labs and exercises

pythoncode-tutorials - The Python Code Tutorials

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

Python-Bible - Resourceful Python Collection

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

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.

the-elements-of-statistical-learning vs ISL-python College-Work vs pythoncode-tutorials the-elements-of-statistical-learning vs ISLR the-elements-of-statistical-learning vs homemade-machine-learning the-elements-of-statistical-learning vs Sharing_ISL_python the-elements-of-statistical-learning vs Python-Bible the-elements-of-statistical-learning vs ISLR-python the-elements-of-statistical-learning vs ML-foundations the-elements-of-statistical-learning vs logbrain