Machine Learning Pocket Reference: Working with Structured Data in Python - Brossura

Harrison, Matt

Brossura

ISBN 10: 1492047546 ISBN 13: 9781492047544

Casa editrice: Oreilly & Associates Inc, 2019

Riassunto

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. Youâ 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 dataset
• Cleaning data and dealing with missing data
• Exploratory data analysis
• Common preprocessing steps using sample data
• Selecting features useful to the model
• Model selection
• Metrics and classification evaluation
• Regression examples using k-nearest neighbor, decision trees, boosting, and more
• Metrics for regression evaluation
• Clustering
• Dimensionality reduction
• Scikit-learn pipelines

Su questo libro

Informazioni sull'autore

Matt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.

Dettagli dell'edizione

• Editore: Oreilly & Associates Inc
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1492047546
• ISBN 13: 9781492047544
• Rilegatura: Copertina flessibile
• Numero di pagine: 318
• Contatto del produttore: non disponibile
• Persona responsabile: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Germania