SKU: 22754798306
granbull v pokemon card value

granbull v pokemon card value Granbull V Full Art Brilliant Stars 159/172, NM Pokemon Card

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Description

granbull v pokemon card value Granbull V Full Art Brilliant Stars 159/172, NM Pokemon CardCreated with Eselt Responsive Templates for eBay Sellers For Collectors Send us a message Created with Eselt Responsive Templates for eBay Sellers Our Store Seller Profile Feedback Save this seller Contact Created with Eselt Responsive Templates for eBay Sellers Pokmon Single Card Pokmon Singles CONDITION All of our Pokmon single cards are examined and graded to the best of our abilities before listing. We use the same scale as PSA to keep things

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For Collectors
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Created with Eselt - Responsive Templates for eBay Sellers

Pokémon Single Card

Pokémon Singles

CONDITION

All of our Pokémon single cards are examined and graded to the best of our abilities before listing. We use the same scale as PSA to keep things simple. Below we have a rough guide on what to expect. 

MINT - PSA 8-9      EX - PSA 5-7

NM - PSA 8-9         VG - PSA 2-4

PLAYED - PSA 1 or Ungradable

                                           

These grades are not guaranteed if you were to send the cards to be graded however gives a good guide on what you could expect and what you will receive. VG cards will be heavily played so please be aware of this when purchasing. They are good cheap ways to fill binders but if you are concerned about condition we would recommend you buy our EX+ versions of the card.

Photos are an example of the card and may not be the exact one you receive. 


IN STORE

We are based in Shaftesbury, Dorset and we do have a physical store so if you would like to sell your collection in person for credit or cash then please contact us before hand and we can organize a meeting with you. 


SHIPPING

We will combine shipping so please just message us and we can arrange a refund for any overpaid shipping after checkout. If all your cards in your basket have shipping on them then you can use the function "Request Total" and it will allow us to send you an invoice with combined shipping. This function is only available on a computer or non mobile website view. 


We ship all cards well protected and our standard service is 2nd class but there is the option to update this at checkout. International shipping may be subject to import taxed and this will be the responsibility of the buyer to pay once your order arrives into the country. All countries have different rules so please do your own research for your own country on how they handle imports. 


  •     



  •  Genuine Cards Guaranteed NO FAKES        
  •  Our Conditions are accurate to PSA grading scale 
  • Shipped Royal Mail 48 as Standard
  • All Cards No Matter the Price are Well Protected
  • A Price to Suit Every Collector
  • We Will Combine Shipping

  • Terms of Sale

Once you have made payment you have accepted the above in terms of returns. Due to people returning a different card to the one sent out, if you are unhappy with the card(s) you have received please get in touch as soon as you get it and send a picture of the back and front of the card so we can match the unique chips to the one that was sent to you. All cards will arrive in "DO NOT BEND" envelopes, in a sleeve and taped to a bit of card to ensure safe delivery at the minimum. Cards worth £10 or more will be sent in a top loader or semi rigid. 
Created with Eselt - Responsive Templates for eBay Sellers
Created with Eselt - Responsive Templates for eBay Sellers
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 22754798306

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4.1 ★★★★★
Based on 22 reviews
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A
Verified Purchase
Amazon Customer
Cuba, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Chelsea, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Pawtucket, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Bozeman, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
West Palm Beach, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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