Hershey's

An Introduction to Statistical Learning with Applications in R, Hardcover

Description: An Introduction to Statistical Learning with Applications in R, Hardcover..... Notes Import Duties or Taxes Please Note Import Duties taxes, Vat, quarantine fees, address change fees, or any other taxes are not included in the item price or in shipping charges. These charges are the buyer's responsibility. You are requested to please check with your country's custom office to determine what these additional cost or taxes etc before bidding / buying this item(s)We do not have any control on customs charges or custom clearance time or on any other charges; hence, the delivery time is for reference only. Sellers are not responsible for shipping service transit times. Transit times may vary particularly during peak periods.Customs duty fees are normally charged by the shipping company or collected when they deliver the parcels.Feedback Please leave us feedback as every positive feedback goes a long way to help us serve you better .If you have any concerns regarding your purchase, please contact satisfactory resolution will be reached. If you like our product tell others, if not tell us, we will do our best to deliver as per commitment. Our first priority is buyer’s satisfaction and we always ready to take every possible steps in buyer favour. For Any Query Please Contact Us Thanks for Visiting our StoreShopping Solution

Price: 24.7 USD

Location: Hackensack, New Jersey

End Time: 2024-07-25T07:27:36.000Z

Shipping Cost: 0 USD

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An Introduction to Statistical Learning with Applications in R, HardcoverAn Introduction to Statistical Learning with Applications in R, HardcoverAn Introduction to Statistical Learning with Applications in R, Hardcover

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money back or replacement (buyer's choice)

Type: Textbook

Format: Hardcover

Publication Name: Introduction to Statistical Learning

Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten

Subject: Statistics

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