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Hands-On Machine Learning with Scikit-Learn and PyTorch (Full Colour Edition) Concepts, Tools, and Techniques to Build Intelligent Systems By Aurélien Géron | Shroff/O'Reilly

Hands-On Machine Learning with Scikit-Learn and PyTorch (Full Colour Edition) Concepts, Tools, and Techniques to Build Intelligent Systems By Aurélien Géron | Shroff/O'Reilly

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📘 Product Details

  • 📗 Book Title: Hands-On Machine Learning with Scikit-Learn and PyTorch

  • ✍️ Author: Aurélien Géron

  • 🏫 Publisher: Shroff / O’Reilly

  • 🖨️ Edition: Full Colour Edition

  • 🌐 Language: English

  • 📚 Category: Computer Science / Machine Learning / AI

  • 📖 Binding: Paperback

  • 📄 Pages: 880

  • 🆕 Condition: New / Original Book

  • 💰 MRP: ₹3600

  • 🔢 ISBN: 9789368082194
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Hands-On Machine Learning with Scikit-Learn and PyTorch is a practical, example-driven guide to building intelligent systems using modern machine learning techniques. Written by Aurélien Géron, this full colour edition walks readers through essential concepts, tools, and best practices with clear explanations and hands-on projects.

The book covers a wide range of topics including supervised and unsupervised learning, neural networks, deep learning, and real-world ML workflows. With extensive use of Scikit-Learn and PyTorch, it helps readers implement models efficiently and understand how to apply machine learning to practical problems.

Ideal for software engineers, data scientists, and students, this book serves as both a learning resource and a long-term reference for building robust machine learning solutions.

Dimensions

24*3*18 CM

Weight

1480 gram

  • 📦 Packaged Commodity: Book

  • 🏷️ Net Quantity: 1 Book

  • 🏭 Publisher Name & Address: As mentioned on the book

  • 💰 MRP: ₹3600 (inclusive of all taxes)

  • 🇮🇳 Country of Origin: India

  • 🚀 Orders dispatched within 24–48 working hours

  • 📦 Secure and protective packaging

  • 🇮🇳 Delivery available across India

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🔄 Return & Replacement Policy

  • ✅ Replacement applicable only for damaged, defective, or incorrect books

  • ❌ Returns not accepted for change of mind

  • 📸 Unboxing video or clear photos may be required for verification

  • ⏳ Claims must be raised within 48 hours of delivery

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