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Machine Learning with Python Cookbook
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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
Specifications
General
Tuotekoodi
14484838
Kategoria
Talouskirjat
Pakkausten määrä
1 kpl
Pakkauksen koko ja paino (1)
0,03 x 0,18 x 0,23 m, 0,3 kg
Kustantamo
O'Reilly Media
Kirjan kieli
Englanti
Tyyppi
Tietotekniikka
Tekijä
Kyle Gallatin, Chris Albon
Sivujen määrä
380
Julkaisuvuosi
2023
GTIN
9781098135720
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