SKU: 28148627738
planta pothos

planta pothos Pothos Mosstok | Plants at Home | Potus

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Description

planta pothos Pothos Mosstok | Plants at Home | PotusLarge Potho with Tutor Majesty and purity await you with the Large Stake Pothos, a plant that blends the grandeur of its size with the natural elegance of its leaves. With its ability to thrive in a variety of light conditions and its distinctive cascading leaf pattern, this plant is a magnificent addition to your space. Awesome Features: Imposing Presence: The Large Pothos with Tutors stands out for its majestic size, making it an impressive focal

Large Potho with Tutor

Majesty and purity await you with the Large Stake Pothos, a plant that blends the grandeur of its size with the natural elegance of its leaves. With its ability to thrive in a variety of light conditions and its distinctive cascading leaf pattern, this plant is a magnificent addition to your space.

Awesome Features:

🌿 Imposing Presence: The Large Pothos with Tutors stands out for its majestic size, making it an impressive focal point in any corner of your home.

🌿 Cascading Leaves: Its long, cascading leaves add a touch of grace and sophistication, making this plant suitable both as a tabletop accent and as a potted plant.

🌿 Growing Versatility: Thanks to its stakes, the Large Pothos can be trained to grow on poles or trellises, giving you options to customize its appearance.

Fun Fact: The leaves of the Large Stake Pothos, like other Pothos varieties, resemble the shape of a heart, a lovely detail that adds a touch of warmth to its presence.

Benefits

The Large Potho with Tutors is not only a visual masterpiece, but also brings remarkable benefits to your environment:

✨ Pure and Healthy Air: This plant is an expert at cleaning the air, effectively removing harmful chemicals and contributing to a healthier environment.

✨ Serenity and Tranquility: Its presence offers a small reaction of calm and tranquility, making it a perfect choice for relaxing spaces.

✨ Good Luck Attraction: In addition to its aesthetic attributes, the Large Pothos is associated with attracting good luck, adding a positive touch to your home.

Embark on Natural Greatness with the Potho and his Guardians:

Transform your space into a haven of majesty and purity with the Large Pothos with Spikes. Its imposing presence and environmental benefits make this plant a magnificent choice. 🌿✨

    Care

    ✅ Light : Tolerates low light, but grows well in medium and higher light areas as well! Variation will be more pronounced in higher light. They don't do well in direct sunlight, as the sun will scorch the foliage.
    ✅Watering: Water enough to keep the soil moist, but not wet or saturated, so it's best to water when the top 50% of the soil is dry. Don't worry if you forget; it will tolerate a missed watering from time to time!
     ✅For more information on caring for this plant, visit the PLANT GUIDE section.


    Recommendations

    ✅It is mildly toxic to pets and humans. Ingestion will usually cause mouth and stomach irritation and possible vomiting.
    ✅It's such an easy houseplant, and you don't have to worry much about fertilizing
    ✅Feel free to trim its leaves regularly. This encourages the plant to develop more side shoots.
    ✅ The ideal temperature between medium to warm It is between 18° and 27°.

    Size Guide

    We'll help you understand how we measure our beautiful plants and help you select the perfect size for your green space!

    How We Measure Size:

    In our measurement methodology, we consider the plant's size from the ground level or pot (included) to the tip of the tallest leaf. We want to ensure we provide you with clear and accurate information about the dimensions of our plants so you can easily visualize how they will fit into your home.

    Measurement Scheme:

    Available Sizes:

    At the beginning of each product description, you will find the different sizes available so that Selections . We offer a variety of sizes to suit your needs and preferences. Remember that the price varies depending on the size selected.

    Tips for Choosing the Right Size:

    • Consider the space available in your home.
    • Consider the desired height for the aesthetics of your decor.
    • Evaluate the lighting conditions in your space.

    By choosing the right size, you'll ensure your new live plant fits perfectly into its environment and thrives in its new home. Explore our options and choose the perfect plant for you!

    Quality

    Unmatched Quality, No Detours: Our Plants Give You a Quick Summary

    Our plants are the best on the market, period. Why? Here it is:

    1. From the Best Producers in Europe and Nationally:

      • We don't play small. We work with the best European and local producers to guarantee you only the best.

    2. Why are ours better?

      • Strong roots, healthy leaves. Ours take better care of themselves, without any drama or unpleasant surprises.

    3. Health Passport Included!:

      • Each plant comes with its own health passport. It's the plant's certificate of good health. Look for the seal on the pot or on the label, and that's it.

    So, are you going to settle for less? Discover the difference with us and bring quality home, without the hassle!

    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: 28148627738

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    4.6 ★★★★★
    Based on 8 reviews
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    Hashi Hanta
    Los Angeles, US
    ★★★★★ 5
    Excelllent book
    Format: Hardcover
    As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 14, 2019
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    Carol
    Louisville, US
    ★★★★★ 5
    Need to read book
    Format: Hardcover
    The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
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    Reviewed in the United States on November 24, 2019
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    Walter Echo-Hawk, author of THE SEA OF GRASS.
    Chelsea, US
    ★★★★★ 5
    Native American history at its best!
    Format: Hardcover
    Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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    Reviewed in the United States on April 1, 2019
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    Par
    Dallas, US
    ★★★★★ 5
    Excellent book on ML
    Format: Paperback
    This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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    Reviewed in the United States on December 20, 2024
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    Richard Hackathorn
    Battle Creek, US
    ★★★★★ 5
    Excellent Textbook for Hands-On Learning of ML
    Format: Kindle
    This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 26, 2022

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