Scikit-Learn In Details : Deep Understanding
Independently published
ISBN13:
9781731040510
$12.67
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.
- | Author: Robert Collins
- | Publisher: Independently Published
- | Publication Date: Nov 08, 2018
- | Number of Pages: 70 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 1731040512
- | ISBN-13: 9781731040510
- Author:
- Robert Collins
- Publisher:
- Independently Published
- Publication Date:
- Nov 08, 2018
- Number of pages:
- 70 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 1731040512
- ISBN-13:
- 9781731040510