Linking pages
- GitHub - mljar/mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation https://github.com/mljar/mljar-supervised 27 comments
- GitHub - microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. https://github.com/Microsoft/LightGBM 11 comments
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- GitHub - acgeospatial/awesome-earthobservation-code: A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery https://github.com/acgeospatial/awesome-earthobservation-code 1 comment
- AI REV - Explainer Dashboard, a tool to answer how the machine learning models works https://airev.us/explainer-dashboard 1 comment
- 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
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - tensorchord/awesome-open-source-mlops: An awesome & curated list of best open source MLOps/LLMOps tools for data scientists. https://github.com/tensorchord/awesome-open-source-mlops 0 comments
Linked pages
- A visual introduction to machine learning http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ 82 comments
- How to visualize decision trees https://explained.ai/decision-tree-viz/index.html 48 comments
- How to explain gradient boosting http://explained.ai/gradient-boosting/index.html 17 comments
- Deep Learning For Coders—36 hours of lessons for free http://course18.fast.ai/ml 17 comments
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
- Beautiful Decisions: Inside BigML’s Decision Trees – The Official Blog of BigML.com http://blog.bigml.com/2012/01/23/beautiful-decisions-inside-bigmls-decision-trees/ 0 comments
- R2D3: Statistics and Data Visualization http://www.r2d3.us 0 comments
- The Mechanics of Machine Learning https://mlbook.explained.ai/ 0 comments
- explained.ai https://explained.ai/ 0 comments
- Random forest - Wikipedia http://en.wikipedia.org/wiki/Random_forest 0 comments
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