Description: About this Item The item is a book Paperback The Author Name is Chris Albon The Title is Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning Condition New Other Comments Pages Count - 413. Category - Computers Product Description - This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. You'll find recipes for:Vectors, matrices, and arraysWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sourcesHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines SVM, naive Bayes, clustering, and tree-based modelsSaving and loading trained models from multiple frameworks We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444252
Price: 107.93 USD
Location: US
End Time: 2024-11-22T11:58:23.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.66
Style: NA
Title: Machine Learning with Python Cookbook Practical Solutions from
Release Title: Machine Learning with Python Cookbook Practical Solutions from
Record Grading: New
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Film/TV Title: Machine Learning with Python Cookbook Practical Solutions from
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Movie/TV Title: Machine Learning with Python Cookbook Practical Solutions from
UPC: 9781098135720
EAN: 9781098135720
ISBN: 9781098135720
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Number of Pages: 380 Pages
Publication Name: Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2023
Item Height: 0.9 in
Subject: Programming / General, Intelligence (Ai) & Semantics, Neural Networks, Programming Languages / Python
Item Weight: 25.7 Oz
Type: Textbook
Item Length: 9.2 in
Author: Kyle Gallatin, Chris Albon
Subject Area: Computers
Item Width: 7.5 in
Format: Trade Paperback