Welcome to the Python Machine Learning guide! This book is a comprehensive resource for mastering machine learning using Python. Written by Aurélien Géron, it's widely regarded as one of the best introductions to the field.

📘 Book Overview

  • Title: Python Machine Learning
  • Author: Aurélien Géron
  • Publisher: Packt Publishing
  • ISBN: 978-1788830818

The book covers:

  1. Supervised learning algorithms (e.g., linear regression, decision trees)
  2. Unsupervised learning techniques (e.g., clustering, dimensionality reduction)
  3. Deep learning with TensorFlow and Keras
  4. Practical projects using real-world datasets

📚 Why Choose This Book?

  • Hands-on approach with code examples
  • Focus on scikit-learn, TensorFlow, and PyTorch
  • Includes exercises and solutions
  • Updated for Python 3 and modern ML frameworks

🧭 Expand Your Knowledge

For deeper dives into related topics:

📷 Visuals

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Happy learning! 📚💡