Machine Learning Pocket Reference: Working with Structured Data in Python

Harrison, Matt

ISBN 10: 1492047546 / ISBN 13: 9781492047544

Editore: O'Reilly Media, 2019

Special order direct from the distributor. Codice articolo ING9781492047544

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

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.

Dati bibliografici

Titolo: Machine Learning Pocket Reference: Working ...
Casa editrice: O'Reilly Media
Data di pubblicazione: 2019
Legatura: Paperback
Condizione: New
Edizione: 1st Edition.