This is the Linux app named handson-ml whose latest release can be downloaded as handson-mlsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named handson-ml with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
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.
