SKU: 36056800730
sunflower seeds for planting for sale

sunflower seeds for planting for sale Sunflower Seeds for Planting Flowers (5 Pack Mix)

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sunflower seeds for planting for sale Sunflower Seeds for Planting Flowers (5 Pack Mix)Sunflower Planting Seeds For Planting 5 Spectacular Varieties for a Sun Kissed Garden Introducing our premium Sunflower Planting Seeds For Planting collection, featuring five stunning sunflower varieties that will bring vibrant color and unparalleled beauty to your garden. Transform your outdoor space into a dazzling sunflower paradise with Velvet Queen, Skyscraper, Lemon Queen, Giant Grey Striped, and Mammoth Sunflowers. Specially curated for

Sunflower Planting Seeds For Planting - 5 Spectacular Varieties for a Sun-Kissed Garden

Introducing our premium Sunflower Planting Seeds For Planting collection, featuring five stunning sunflower varieties that will bring vibrant color and unparalleled beauty to your garden. Transform your outdoor space into a dazzling sunflower paradise with Velvet Queen, Skyscraper, Lemon Queen, Giant Grey Striped, and Mammoth Sunflowers. Specially curated for sunflower enthusiasts, our sunflower seeds are perfect for planting in gardens, flower beds, and pots!

This sunflower seed collection includes:

Giant Grey Striped Sunflowers - 8g - 90 seeds

Experience the grandeur of Giant Grey Striped Sunflowers. These enormous beauties feature eye-catching grey-striped seeds and grow up to 10 feet tall. Their golden-yellow petals and dark centers create a visually stunning contrast that will captivate your garden visitors.

Lemon Queen Sunflowers - 2g - 45 seeds

Add a refreshing burst of color to your garden with the delightful Lemon Queen Sunflowers. Their soft, lemon-yellow petals and delicate, pale-yellow centers create a soothing, tranquil ambiance. Growing up to 6 feet tall, Lemon Queens are perfect for creating a cheerful, sun-kissed garden.

Mammoth Sunflowers - 8g - 125 seeds

Go big or go home with our Mammoth Sunflowers! These colossal sunflowers live up to their name, reaching a staggering 12 feet tall. Sporting massive golden-yellow blooms, Mammoth Sunflowers are perfect for creating a jaw-dropping focal point in your garden.

Skyscraper Sunflowers - 8g - 85 seeds

Reach for the sky with our Skyscraper Sunflowers! Towering up to 12 feet tall, these majestic giants are true showstoppers. Their large, golden-yellow blooms with chocolate-colored centers create a striking visual that will make your garden the talk of the town.

Velvet Queen Sunflowers - 2g - 90 seeds

Add a touch of royalty to your garden with the luxurious Velvet Queen Sunflowers. These deep red-to-maroon blooms are simply mesmerizing with their rich, velvety petals and contrasting dark centers. Growing up to 6 feet tall, these elegant sunflowers make a stunning statement in any garden.

All seed counts are approximate. Substitutions may occur due to seed shortages.

Why Choose Our 5 Sunflower Seeds Variety Pack?

Heirloom Quality: Enjoy timeless sunflower varieties that have been passed down for generations, offering you classic beauty and unparalleled quality.

Non-GMO & Non-Hybrid: Pure, unmodified seeds that provide a truly natural gardening experience.

Open-Pollinated: Sustainably grown to allow seed-saving for future plantings, supporting a self-sufficient garden.

Versatile Garden Addition: Ideal for garden beds, borders, and even as indoor cut flowers – these sunflowers add vibrant color and charm wherever they’re planted.

Planting Instructions:

  1. Choose a sunny location with well-draining soil.
  2. Sow seeds directly in the garden after the last frost date, spacing them 6 to 36 inches apart, depending on the variety.
  3. Plant seeds 1 inch deep and water thoroughly.
  4. Germination occurs within 7 to 10 days under optimal conditions.
  5. Provide support for taller varieties to prevent them from toppling over in windy conditions.

Add a touch of sunshine to your garden with our Sunflower Planting Seeds For Planting collection. Order now and experience the unparalleled beauty and joy these spectacular sunflower varieties offer!

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Verified Purchase
Amazon Customer
Carnegie, 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
Draper, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Lexington, 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
Alexandria, 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
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Verified Purchase
Gabe Rigall
Port Orchard, 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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