This is the Windows app named handson-ml2 whose latest release can be downloaded as handson-ml2sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
handson-ml2
DESCRIPTION:
This repository contains the Jupyter notebooks and code for the second edition of a popular hands-on machine learning book that teaches both classical ML and deep learning using modern tooling. The notebooks emphasize end-to-end workflows: data preparation, model selection, tuning, and reliable evaluation. Deep learning sections use the contemporary Keras/TensorFlow 2 ecosystem, highlighting clean APIs and eager execution to make experiments easier to reason about. Traditional ML topics remain central, with scikit-learn pipelines, feature engineering, and cross-validation patterns that transfer to real projects. The material favors clear explanations and runnable code over theory alone, so learners can iterate, visualize, and debug as they go. It’s suitable for self-study, classrooms, and as a reference for practitioners who want concise, working examples of common ML tasks.
Features
- Complete notebooks for classical ML with scikit-learn and modern DL with Keras/TensorFlow 2
- End-to-end examples covering data cleaning, pipelines, and model tuning
- Visualizations and diagnostics to build intuition about model behavior
- Reproducible environments and datasets for consistent results
- Coverage of CNNs, RNNs, and transfer learning alongside traditional methods
- Exercises and solutions that map directly to real-world workflows
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/handson-ml2.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.