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portada Machine Learning Pocket Reference: Working With Structured Data in Python
Type
Physical Book
Author
Publisher
Year
2019
Language
English
Pages
320
Format
Paperback
Dimensions
17.8 x 10.8 x 1.7 cm
Weight
0.24 kg.
ISBN13
9781492047544
Edition No.
1
Categories

Machine Learning Pocket Reference: Working With Structured Data in Python

Matt Harrison (Author) · O'Reilly Media · Paperback

Machine Learning Pocket Reference: Working With Structured Data in Python - Harrison, Matt

New Book Imported to Netherlands
Delivery: 18 Aug - 19 Aug Shipping: 2 to 2 business days.
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Synopsis "Machine Learning Pocket Reference: Working With Structured Data in Python "

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.This pocket reference includes sections that cover: Classification, using the Titanic datasetCleaning data and dealing with missing dataExploratory data analysisCommon preprocessing steps using sample dataSelecting features useful to the modelModel selectionMetrics and classification evaluationRegression examples using k-nearest neighbor, decision trees, boosting, and moreMetrics for regression evaluationClusteringDimensionality reductionScikit-learn pipelines

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