SKU: 45585728692
cute plant pot

cute plant pot Face Planter Pot

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Description

cute plant pot Face Planter PotFinally, a plant pot that understands the power of excellent hair Most plant pots are doing the bare minimum. Round shape, neutral colour, no personality whatsoever. Fine if all you want is somewhere to put dirt, but not exactly thrilling. This face planter has much bigger ambitions. Instead of just holding your plant, it turns your succulent, vine, or trailing greenery into a full hairstyle moment, which means your indoor garden suddenly looks a lot

🌿 Finally, a plant pot that understands the power of excellent hair

Most plant pots are doing the bare minimum. Round shape, neutral colour, no personality whatsoever. Fine if all you want is somewhere to put dirt, but not exactly thrilling. This face planter has much bigger ambitions. Instead of just holding your plant, it turns your succulent, vine, or trailing greenery into a full hairstyle moment, which means your indoor garden suddenly looks a lot more artistic and a lot less forgettable.

That is the magic here. The calm little face, the dreamy expression, the soft sculpted shape, it all gives this planter a slightly whimsical, almost storybook feel. Pop a spiky succulent on top and she gets a fashion-forward cropped look. Add a trailing plant and suddenly it is all flowing green hair and “I belong in a very stylish secret garden” energy. It is practical, decorative, and just odd enough to feel like a proper OddGifts find.

🪴 A tiny sculpture that also happens to be useful

That is a huge part of why this works so well. It does not feel like basic garden gear. It feels like décor first, plant pot second, which is usually the sign of something people actually want to keep out on display. It looks lovely on a shelf, windowsill, desk, side table, patio corner, or little reading nook, and it does that rare thing where it makes a room feel softer and more interesting without needing a full styling overhaul around it.

The extra little pot detail in the design only makes it better. It gives the whole piece more charm and turns it into something that looks thoughtfully made rather than just another novelty planter. There is personality in it, but not in a loud or goofy way. More in a “where did you get that?” way, which is always a very good sign.

✨ Perfect for plant lovers, décor people, and gift recipients with better taste than average

If you are buying for someone who loves succulents, trailing plants, cosy interiors, cottagecore touches, or unusual home décor, this is an easy yes. It is especially good for people who already have enough plain pots and want something that feels more creative. It also works beautifully as a gift because even before a plant goes in, it already looks lovely. Add greenery and it instantly levels up.

That makes it ideal for birthdays, housewarmings, Mother’s Day style gifts, or those random “I saw this and it is so your vibe” purchases that usually go down well. It feels thoughtful without being too serious, decorative without being fussy, and charming without trying too hard.

💛 The sort of planter people actually notice

A lot of planters disappear into the background. This one absolutely does not. It becomes part of the display, part of the room, and part of the plant itself once everything is styled together. Basically, if your greenery deserves a prettier home than another boring pot, this little face is ready for the job.

✅ Why You’ll Love It

✔ Turns succulents and trailing plants into a gorgeous leafy hairstyle
✔ Works as both a planter and a decorative sculpture
✔ Perfect for shelves, desks, windowsills, patios, and cosy corners
✔ Great gift for plant lovers and people who love pretty home décor
✔ Adds instant charm without feeling overly loud or cluttered

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SKU: 45585728692

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Carol
Cuba, 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.
Waukegan, 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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Verified Purchase
Par
San Leandro, 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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Verified Purchase
Richard Hackathorn
Carnegie, 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.
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Reviewed in the United States on February 26, 2022
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Verified Purchase
Amazon Customer
Natrona Heights, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025

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