This is the Windows app named handson-ml whose latest release can be downloaded as handson-mlsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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handson-ml
DESCRIPTION
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. The code is crafted to be clear rather than clever, prioritizing readability for newcomers. As a historical snapshot and a still-useful primer, it pairs well with the second edition for understanding how the ecosystem matured.
Features
- Notebooks for classical ML workflows with scikit-learn
- Introductory deep learning examples aligned to TensorFlow 1 APIs
- Step-by-step demonstrations of validation, regularization, and tuning
- Simple, readable code that prioritizes teaching over abstraction
- Datasets and utilities bundled for quick experimentation
- Complements the second edition as a reference and comparison point
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/handson-ml.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
