MLEveryday/100-Days-Of-ML-CodeGitHub
calls machine-learning “choose for a wider set of current Python ML notebooks with more advanced topics.”
100-Days-Of-ML-Code中文版
22.2kJupyter Notebookactive
ethen8181/machine-learning Alternatives
machine-learning is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
Listed as an alternative to
These projects were analysed and named machine-learning among their alternatives. The relationship is not symmetric — how machine-learning rates them is a separate judgement, made when machine-learning is analysed in its own right.
amueller/introduction_to_ml_with_pythonGitHub
calls machine-learning “Pick for a wide self-paced set of ML tutorials with detailed derivations rather than one book's narrative.”
Notebooks and code for the book "Introduction to Machine Learning with Python"
8.2kJupyter Notebookdormant