python-machine-learning-book VS Sharing_ISL_python

Compare python-machine-learning-book vs Sharing_ISL_python and see what are their differences.

Sharing_ISL_python

An Introduction to Statistical Learning with Applications in PYTHON (by qx0731)
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python-machine-learning-book Sharing_ISL_python
2 2
12,076 514
- -
0.0 0.0
over 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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python-machine-learning-book

Posts with mentions or reviews of python-machine-learning-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

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.

What are some alternatives?

When comparing python-machine-learning-book and Sharing_ISL_python you can also consider the following projects:

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

An-Introduction-to-Statistical-Learning - This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

machine_learning_basics - Plain python implementations of basic machine learning algorithms

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.