Linking pages
- Writing your First Distributed Python Application with Ray | by Michael Galarnyk | Towards Data Science https://towardsdatascience.com/writing-your-first-distributed-python-application-with-ray-4248ebc07f41 7 comments
- Parallelizing Python Code. This article reviews some common… | by Michael Galarnyk | Towards Data Science https://towardsdatascience.com/parallelizing-python-code-3eb3c8e5f9cd 6 comments
- Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib) | by Michael Galarnyk | Towards Data Science https://towardsdatascience.com/visualizing-decision-trees-with-python-scikit-learn-graphviz-matplotlib-1c50b4aa68dc 0 comments
Linked pages
- 1.1. Linear Models — scikit-learn 1.4.0 documentation https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression 17 comments
- Joblib: running Python functions as pipeline jobs — joblib 1.3.0.dev0 documentation https://joblib.readthedocs.io/en/latest/ 15 comments
- sklearn.model_selection.RandomizedSearchCV — scikit-learn 1.1.3 documentation https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html 9 comments
- sklearn.model_selection.GridSearchCV — scikit-learn 1.2.1 documentation https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html 5 comments
- GitHub - ray-project/ray: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. https://github.com/ray-project/ray 0 comments
- http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf 0 comments
- https://leon.bottou.org/publications/pdf/nips-2007.pdf 0 comments
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