rasbt/python-machine-learning-book-2nd-edition ? reverse-engineered prompt

Build me a clean GitHub repo for the code that goes with a machine learning book. I want it organized by chapter, with separate Jupyter notebooks and matching Python scripts for each chapter, plus a simple README that explains what the project is and how to get started.

The main goal is to make it easy for someone learning machine learning to open a chapter, run the examples step by step, and follow along without getting lost. Include helpful setup instructions, a clear table of contents, and any images or supporting files needed for the notebooks to look good and make sense. Keep the whole thing friendly for learners, with examples covering the usual machine learning topics like classification, preprocessing, model evaluation, clustering, neural networks, TensorFlow, image classification, and sequence data. If anything needs current package guidance, look up the latest docs online.