SKU: 1853234086
red homecoming dresses short

red homecoming dresses short Simple Satin Short Cheap Red Homecoming Dresses Under 100, CM380 – SposaDresses

$23.52 $26.13
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Size: 4
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Ships within 48 hours · Estimated delivery Jul 22 - Jul 27

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Description

red homecoming dresses short Simple Satin Short Cheap Red Homecoming Dresses Under 100, CM380 – SposaDressesSimple Satin Short Cheap Pink Homecoming Dresses Under 100, CM379 The Hecoming Dresses are fully lined, 8 bones in the bodice, chest pad in the bust, lace up back or zipper back are all available, total 126 colors are available. This dress could be custom made, there are no extra cost to do custom size and color. Description 1, Material: satin, pongee. 2, Color: there are many colors are available, please contact us for more colors. 3, Size: standard

Simple Satin Short Cheap Pink Homecoming Dresses Under 100, CM379

The Hecoming Dresses are fully lined, 8 bones in the bodice, chest pad in the bust, lace up back or zipper back are all available, total 126 colors are available.

This dress could be custom made, there are no extra cost to do custom size and color.

Description 
1, Material: satin,  pongee.

2, Color: there are many colors are available, please contact us for more colors.

3, Size: standard size or custom size, if dress is custom made, we need measurement as following
    bust______ cm/inch
    waist______cm/inch
    hip:_______cm/inch
    shoulder to shoulder :_______cm/inch (measured from back of shoulder)
    shoulder to bust :_______cm/inch (measured from middle shoulder to nipple)
    shoulder to waist :_______cm/inch (measured from middle of shoulder to natural waist)
    Shoulder to hem :_______cm/inch (length from middle of shoulder over nipple to end of skirt)
    nipple to nipple:_______cm/inch
    armhole__________cm/inch (end of arm)

4, Delivery time: 
Rush order: within within 20 days or even earlier, shipping cost is $30.00 extra more.
Normal time: Within 30 days (From May to Dec)
Around 30-35 days (From Jan to April), it's busy season together with spring festival holiday, so produce time will be a little long.

5, Packing: in order to save your shipping cost, each dress will be packed tightly with water proof bag.

6, Shipping: by UPS or DHL or some special airline.

7, Payment: Credit Card, PayPal, bank transfer, western union and so on.

8, Return Policy:  
We will accept returns if dresses have quality problems( dresses of standard size with picture color can be returned, size must be less than US16), we also hold the right to refuse any unreasonable returns, such as wrong size you gave us or standard size which we made right, but we offer free alternation

Please Note that Custom Order are can't be returned(custom size or color as not picture shown)
Please see following for the list of quality issues that are fully refundable for:
Wrong Size, Wrong Color, Wrong style, Damaged dress- 100% Refund or remake one or return 50% payment to you, you keep the dress.

In order for your return or exchange to be accepted, please carefully follow our guide:
1. Contact us within 2 days of receiving the dress (please let us know if you have some exceptional case in advance)
2. Provide us with photos of the dress, to show evidence of damage or bad quality, this also applies for the size, or incorrect style and color etc.
3. The returned item must be in perfect condition (as new), you can try the dress on, but be sure not to stretch it or make any dirty marks, otherwise it will not be accepted.
4. The tracking number of the returned item must be provided together with the reference code issued.
5. If you prefer to exchange dresses, then a price difference will be charged if more expensive.
6. You are required to pay for the shipping fee to return or exchange the dress.
7. When you return the package to us, please pay attention to the following points, if not, customers should pay for the duty:
we put all of our energy and mind into each dress, each of our dress are full of love, our long experience and skilled craftsmanship keep less return rate till now, but if there are our problems, we could return all your payment, for more details, please see our FAQ.

9, Custom taxes
Except Unite States, most buyers need to pay customs taxes, in order to save cost for you, we have marked around $30-40.00 on the invoice, then you just pay less taxes, please note that it's express help customs collect this payment, it is not shipping cost, as shipping cost has already paid before sending.

Our advantage:
We do long time dresses for some famous brands, we also make dresses for designers in European and USA client, please trust us, our strong team could make sure each dress will be your dream dresses.

Simple Satin Short Cheap Red Homecoming Dresses Under 100, CM380

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: 1853234086

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4.8 ★★★★★
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Verified Purchase
Hashi Hanta
San Leandro, 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
C
Verified Purchase
Carol
Boise, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 24, 2019
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
Lowell, 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
Lexington, 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
R
Verified Purchase
Richard Hackathorn
Massapequa, 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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