handson ml2

We have hosted the application handson ml2 in order to run this application in our online workstations with Wine or directly.

Quick description about handson ml2:

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

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