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Description
Mishimoto 1pc M27x2.0 1in Aluminum Catch Can Fitting BlackThis fitting adapts M27x2. 0 thread to a 1 in push on hose barb. It is made from 6061 aluminum and is black anodized for a durable finish. The threaded end is sealed with a Viton O Ring. Like all of our products, this fitting includes Mishimoto's Lifetime Warranty.
This fitting adapts M27x2.0 thread to a 1-in push-on hose barb. It is made from 6061 aluminum and is black anodized for a durable finish. The threaded end is sealed with a Viton™ O-Ring. Like all of our products, this fitting includes Mishimoto's Lifetime Warranty.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.1 ★★★★★
Based on 12 reviews
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Product Reviews
★★★★★ 5
Quadruple BAM.
Format: Paperback
Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 22, 2025
★★★★★ 5
Amazing textbook
Format: Paperback
Awesome book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 12, 2025
★★★★★ 5
Buen libro para entender conceptos de redes neuronales
Format: Paperback
El libro explica de manera didáctica los principales algoritmos de redes neuronales estilo Statquest. Esperando la versión en español.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 24, 2026
★★★★★ 5
Visual learners will love this
Format: Paperback
This book is amazing for the visual learner! I've taken numerous online classes that use animated videos to explain deep learning concepts visually, but this book accomplishes the same thing in print! I've also purchased deep learning books with pages and pages of formulas and hardly any illustrations. My brain can't process symbolic math without a picture. Kudos on creating something truly unique and super valuable.
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Reviewed in the United States on February 15, 2025
★★★★★ 4
Worth it,
Format: Paperback
Too tedious to state my complaints, but it is in full color and statsquach is in there.
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Reviewed in the United States on February 13, 2026
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