Handson ml 241025 #228
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Introduces 01_v2_the_machine_learning_landscape.ipynb with code examples and solutions for chapter 1, including data preparation, linear regression, k-nearest neighbors regression, and figure generation for the 'lifesat.csv' dataset.
Added several registry-related files including database and Excel files for universal import registry. Updated the end-to-end machine learning project notebook to import matplotlib, display a deprecation warning, and adjust outputs and execution counts in some cells.
Renamed 01_v2_the_machine_learning_landscape.ipynb to 01_v2.1_the_machine_learning_landscape.ipynb for versioning clarity. Added a new empty notebook 01_v2_machine_learning_landscape_explore.ipynb for future exploration work.
Added 02_v2_end_to_end_machine_learning_project.ipynb containing sample code and solutions for an end-to-end machine learning project. Minor update to universal_registry_MASTER.xlsx.
Introduces a new Jupyter notebook covering artificial neural networks using Keras, including sample code and exercise solutions for chapter 10. The notebook demonstrates setup, Perceptron usage, and various neural network concepts and implementations.
…dson-ml3 into handson-ml-241025
exploration
…dson-ml3 into handson-ml-241025
Added 01_the_mll_practice.ipynb with initial setup and code examples. Added several new text files (archive/new_name.txt, downloaded_text.txt, notes.txt, old_name.txt). Updated 01_the_machine_learning_landscape.py and 01_v2_machine_learning_landscape_explore.ipynb to clean up imports and formatting. Modified references_notes.md with additional notes.
Added comprehensive markdown notes for neural networks and deep learning (Chapters 10-12), including summaries, cheat sheets, MCQs, interview Q&A, and scenario-based questions. Expanded Python script with AI-oriented code explanations and key term definitions for MLPs with Keras. Introduced a new markdown file on training deep neural networks, focusing on learning rate scheduling techniques and their practical code implementations.
Added new markdown and Python files with practical enhancements for Hands-On Machine Learning Chapter 2, including improved feature engineering, robust pipelines, model tuning, and stacking. Updated neural nets with Keras script for clarity and added a new markdown file with detailed explanations and templates. Removed outdated analysis notebook and added new documents to the archive.
Added detailed guiding questions to the scenario-based interview section, including aspects such as reasoning, failure cases, usage, mental models, prompting, and alternatives.
…dson-ml3 into handson-ml-241025
Moved and renamed existing notebooks to the explore-hml3 directory, and added new chapter notebooks (ch03_explore.ipynb through ch11_explore.ipynb and ch13_explore.ipynb through ch19_explore.ipynb) to support expanded chapter coverage. This improves organization and prepares for further development in each chapter.
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A new binary file ~$plore-hml3.docx was added, which appears to be a temporary or lock file generated by Microsoft Word.
Added ai_template.docx and updated explore-hml3.docx with new content. Temporary and backup files were also added to the repository.
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