aws-samples/aws-machine-learning-university-accelerated-tab resource

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1034 stars · 300 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open course from AWS Machine Learning University covering machine learning techniques for tabular (spreadsheet-like) data, with slides, Jupyter notebooks, datasets, and YouTube lecture videos. It includes three lectures and a final project covering topics like KNN, tree-based models, feature engineering, and hyperparameter tuning.

Use cases

• learn machine learning for tabular data
• find a free ML course with notebooks and videos
• study tree-based models and hyperparameter tuning
• get hands-on ML labs in Jupyter notebooks
• learn feature engineering and model evaluation
• start a career in machine learning with structured classes

When to choose

• you want a free, structured introduction to ML on tabular data with runnable notebooks
• you prefer learning from video lectures paired with hands-on labs
• you want course material covering classic tabular ML techniques like KNN, bagging, and tree-based models

When to avoid

• you need deep learning for images, text, or audio rather than tabular data
• you want production-grade ML tooling rather than educational material
• you need a maintained software library - this is course content, not a package

Facets

learning-resource · maturity stable

machine-learning data-science machine-learning data-science education tutorials python cross-platform jupyter-notebooks tabular-data course-material aws scikit-learn mxnet-gluon video-lectures

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