Description: payment | shipping rates | returns Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data S Product Category : Book ISBN-13 : 9780133892062 Title : Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data S Authors : Miller, Thomas Condition : Used - Very Good About Goodwill of San Francisco Goodwill equips low-income individuals and those with barriers with the skills required to succeed in the 21st century job market. We also hire our trainees to gain transferable skills and valuable on-the-job experience in our stores and warehouses. And for those motivated job seekers who want to pursue a sustainable career track, we help place them in jobs at top Bay Area companies. Payment We ship via multiple carriers. Order are shipped via economy services. Transit times may vary from 4-10 business days to arrive once the order has been shipped. We do not ship internationally. Orders typically ship within 1-3 business days. We strive to get out all orders as soon as possible! Returns We do not accept returns on any order. Should there be any discrepancy issues with your order, please contact us via the methods available within eBay regarding any problems before leaving negative feedback. Any defects, damages, or material differences with your item, must be reported to us within 14 days from the day received. © 2021 Goodwill of San Francisco
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Book Title: Modeling Techniques in Predictive Analytics with Python and R: A
Number of Pages: 448 Pages
Publication Name: Modeling Techniques in Predictive Analytics with Python and R : a Guide to Data Science
Language: English
Publisher: Pearson Education
Publication Year: 2014
Item Height: 1.1 in
Subject: Decision-Making & Problem Solving, Desktop Applications / Databases, Databases / Data Mining, Production & Operations Management, Statistics, Programming Languages / Python
Item Weight: 31.8 Oz
Type: Textbook
Item Length: 9.5 in
Author: Thomas Miller
Subject Area: Computers, Business & Economics
Series: Ft Press Analytics Ser.
Item Width: 7.3 in
Format: Hardcover
