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Scikit-learn in Details: Deep understanding
Contributor(s): Collins, Robert (Author)
ISBN: 1731040512     ISBN-13: 9781731040510
Publisher: Independently Published
OUR PRICE:   $8.91  
Product Type: Paperback
Published: November 2018
Qty:
Additional Information
BISAC Categories:
- Computers | Data Visualization
Physical Information: 0.15" H x 6" W x 9" (0.23 lbs) 70 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book is a guide for you on how to use Scikit-Learn, a machine learning library for Python programming language. The author first helps you know what Scikit-Learn are and how to set it up on your system. You are also guided on how to load datasets into Scikit-Learn. The author has then guided you on how to use the various machine learning algorithms to implement machine learning models of different types with Scikit-Learn. Some of the algorithms that have been discussed include Support Vector Machine (SVM), Linear Regression, K-Nearest Neighbors and K-Means. In all these, practical examples have been given, hence you will know how to implement models and use them for making predictions. The content is:
  • Getting Started with Scikit-learn
  • Support Vector Machines in Scikit-learn
  • Scikit-Learn Linear Regression
  • Scikit-Learn k-Nearest Neighbors Classifier
  • K-Means Clustering With Scikit-Learn
Subjects include: python programming language, python, linear regression book, scikit-learn, scikit-learn and tensorflow, support vector machine, linear regression, k-nearest neighbor, k-means, kernel, linear regression models, data visualisation, linear regression analysis, linear regression machine learning.