SKU: 86548715538
chinese braided money tree

chinese braided money tree Money Tree, Pachira Kokedama

$26.87 $29.85
Save 10%
No.2 Bestseller on realestatemontenegro.me >

Pay in installments of $7.46 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 11 - Aug 16

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

chinese braided money tree Money Tree, Pachira KokedamaOne of the most enduring kokedama in our collection. This is a live money tree that is potted in a proper mixture of soil and moss to help in growth and plant life. Kokedama (pronounced "Ko Kay Da Ma") is a carefully crafted plant that emerges from a ball of soil covered with moss. The moss retains moisture in the soil, promoting eco friendly watering practices and ensuring the plant remains healthy and vibrant. Indoor plants like Kokedama offer a

One of the most enduring kokedama in our collection.This is a live money tree that is potted in a proper mixture of soil and moss to help in growth and plant life. 

♥Kokedama (pronounced "Ko Kay Da Ma") is a carefully crafted plant that emerges from a ball of soil covered with moss. The moss retains moisture in the soil, promoting eco-friendly watering practices and ensuring the plant remains healthy and vibrant. Indoor plants like Kokedama offer a multitude of benefits, including air purification, aesthetic enhancement, and stress reduction.


The package will include detailed care instructions, but here's a general overview of kokedama care you should be aware of. Keep in mind that each plant has specific requirements, and environmental factors vary. It's advisable to study and tailor the care to your specific environment.


1) Water your kokedama moderately by pouring 1/2 to 1 cup of water at the bottom part (less than 1 inch), allowing it to absorb. Wait for 5-10 minutes, and the ball will absorb all the water. Since our kokedama uses preserved moss, there's no need to water the moss. Repeat when the moss ball shows signs of drying out.

2) Adequate light is crucial. Most house plants thrive in bright, indirect light.

3) Shower kokedama with your love, but be cautious not to overwater. (Overcare😁)


There is no calendar date to treat plants (i.e. how often should watered), general care is enclosed in the package however each environment/climate is different that plants need to be adjusted with your climate.


♥Give the gift to special person that just keeps on growing. A lovely moss art installation.

♥My hope is that every owner experiences and preserves the tranquil mindset and positive energy emanated by this petite forest spirit ball.

♥ If you like to add specific saucers, gift wrapping, or keep up with green moss, please add them to your order.

♥Please be careful not to leave the package hot or cold weather outside for long time. They are live plants.

♥After you receive your Kokedama package:
Please be careful not to leave the package outside for long time, they are live plants. 


After you receive your kokedama package, please read the plant care instruction and follow them, some plant loves moist, some loves being dry out before water. Kokedama has been water enough to be healthy during the shipment.

⭐︎Handling and shipping policy :
Ship your order by USPS Priority Mail Class with a tracking ID. Each Kokedama order is made to order. 


If the plants was damaged during the shipment, please request for the refund within a day of arrival with the picture. 

I can not accept the claim to be refund after 3-4 days later of shipment for the reason that you may be overwatered or placed in unpleasant location for plants.

In the hot/cold weather time: I recommend to purchase thermal pack to ensure the plants health during the shipment.
Please add "Thermal package" from package section.

It is your responsibility to track the shipment and open the package as soon as the package arrive. Tracking information will be sent by email.


Items are only listed to ship to the United States only.

Remember that we can not ship plant to Hawaii and Alaska according to USDA regulation.  Any order you request to Hawaii and Alaska needs to be canceled.


Thank you for your understanding, it is all for you and Kokedama's happiness:) 


Warm Regards,


Kokedama Maker : Kanako Yamada


Follow us 

Instagram @kodamaforest 

Facebook: https://www.facebook.com/kokedamabykodamaforest

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: 86548715538

Discover Niche Categories That Outsell chinese braided money tree

Top-Converting Item to Boost Your Average Order

4.2 ★★★★★
Based on 24 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
New York, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 1, 2019
P
Verified Purchase
Par
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Bozeman, 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
A
Verified Purchase
Amazon Customer
Dallas, 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
Alexandria, 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

recommand products

AIR PLANT WEDDING FAVORS – Denver Plant Delivery
23.34
Funckiana Hanging Clumps
27.33
Self-Watering Tomato Planter with Trellis – Buzzy Seeds
25.77
6 ft. Halloween Scare in the Air Garland and LED Lights · National Tree Company
20.70
Hanging Grapewood Large Branch Air Plant Display
22.28