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Machine Learning Pocket Reference: Working with Structured Data in Python

MRP: Rs.450.00
Price in points: 450 points
9789352138999
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Minimum quantity for "Machine Learning Pocket Reference: Working with Structured Data in Python" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

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 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

Books

Author:
Matt Harrison
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 1-2 days
Leadtime to ship in days(if not in stock):
Usually ships in 12-15 days
Pages:
320
Publisher:
Shroff/O'Reilly
Year:
2019

Dimensions

Dimensions (W x H x D):
4.25 x 7 x .6 inch

Table of Contents (9789352138999_toc.pdf, 148 Kb) [Download]