SKU: 29914764182

Pflegeset Angebot!

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Description

Pflegeset Angebot!Hundeshampoo Schneewei 250ml Fellbrste S Seidenspray 50ml Dieses Premium Hundepflege Set ist das schnste Geschenk, das du deinem Liebling machen kannst. Du hast alles, was du bentigst, um Deine Fellnase glcklich zu machen. Es reinigt nicht nur grndlich, sondern hat auch einen langanhaltenden frischen Duft und lsst das Fell richtig strahlen. Es kftigt das Fell und verleiht Glanz, Flle und Volumen zum Frisieren. Besonders fr verknotetes und verfilztes

Hundeshampoo Schneeweiß 250ml

Fellbürste S

Seidenspray 50ml

 

Dieses Premium Hundepflege Set ist das schönste Geschenk, das du deinem Liebling machen kannst. Du hast alles, was du benötigst, um Deine Fellnase glücklich zu machen.

Es reinigt nicht nur gründlich, sondern hat auch einen langanhaltenden frischen Duft und lässt das Fell richtig strahlen. Es käftigt das Fell und verleiht Glanz, Fülle und Volumen zum Frisieren. Besonders für verknotetes und verfilztes Fell ist das Premium Pflegeset genau richtig.

Fellbürste - Slicker-Brush aus Kunsstoff

  • mit 360° rotierenden Bürstenkopf zum schnellen Wechseln von Körper auf Kopf
  • ergonomischer Griff mit Gummierung gegen Abrutschen
  • weiches Luftkissen - Kunsstoffpad für sanfte Pflege
  • Größen:     S  7 cm. x 15 cm.         
  • mit und ohne Schutznoppen

Diese Fellbürste  gibt es in 2 Ausführungen und Größen. Eine mit, und die andere ohne Noppen. Beide sind sehr gut geeignet für Welpen, Katzen und auch sehr weiches, feines Fell. 

Diese wasserfesten Fellbürsten haben weiche Pins, die tief in die Unterwolle greifen und loses Fell einfach und schmerzfrei für Deinen Schatz rausholen.

Bürsten verhindert nicht nur Knoten und Filz, es fördert auch die Durchblutung und verbessert dadurch die Gesundheit der Haut. Das Fell ist schöner, sauberer und luftdurchlässiger.


Kämmmethode


Am Hals beginnend Richtung  Schulter, Brust und Bauch, dann das Hinterteil. Und zuletzt die Beine von einer Richtung zur anderen.

Sanftes Kämmen in Wuchsrichtung des Fells. Lange Haare sollten in Schichten bearbeitet werden um das Unterfell zu erreichen.

Reinigung

- Kann mit heißem Wasser, oder flüssigem Desinfektionsmittel gereining werden.
- Loses Fell direkt nach dem Bürsten enfernen und mit Desinfektionsspray sparsam und vorsichtig einsprühen.

Entwickelt von Hundefriseuren 

Mit Leidenschaft und Liebe zum Tier stehen wir zu unserer Marke Kebelyn. Um Dir die Pflege Deines Lieblings zu erleichtern haben wir die besten Produkte entwickelt, damit Du Deinen Schatz perfekt pflegen kannst.

Inhatsstoffe

Deionisiertes Wasser, Lauryl polyeter ammonium sulfate (Tensid), Cocoamide propyl betaine (Kokosfettsäure), C12-16 alkyl glucoside (nichtionisches Tensid), Sodium lauroyl ceratine (Hautpflege), Melon glue hydroxypropyl trimethylammoniun chloride (Feuchtigkeitsmittel), Poliquaternary ammonium salt 67+47+10 (Verdickungsmittel), Hydrolized silk protein, EDTA disodium (Essigsäure+Sole), Panthenol (Hautpflegemittel), Dissodium lauroyl amphotiric diacetate (PH Wertregulator 7,5), citric acid (Zitronensäure), Aloe barbadensis extract (echte Aloe), Sophora flavesence  (Duft), Methyl chloroisothiazolinone (Konservierungsmittel), natürliche Essenzen

Seidenspray

Aqua, Amodimethicone (auswaschbar), Glycerin, Propylene Glycol, Hydrolyzed Silk 2%, Vitamin E, Vitamin H, Vitamin C, Panthenol, Cetrimonium Chloride, Cetyl Pyridinium Chloride, Methylisothiazolinone, Methylchloroisothiazolinone, Parfum

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SKU: 29914764182

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4.2 ★★★★★
Based on 10 reviews
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Product Reviews
A
Verified Purchase
Amazon Customer
Bozeman, 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
Natrona Heights, 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
Alexandria, 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
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Waukegan, 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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