Abstract
Anticipating that the user has a good knowledge of the core elements of
Python we now explore the applicative aspect of Python. In this chapter, we will look
at Python, especially from the Machine Learning (ML) point of view. We will discuss
the various libraries and their utility in ML and then lay hands over the programming
demonstrations.
Keywords: Libraries, Machine learning, Packages, Prediction and classification.
Related Journals
Recent Patents on Computer Science
Current E-Learning
Current Chinese Computer Science
International Journal of Sensors, Wireless Communications and Control
Current Computer Science
Current Machine Learning
Journal of Intelligent Systems in Current Computer Engineering
The Chinese Journal of Artificial Intelligence
Journal of Fuzzy Logic and Modeling in Engineering
Recent Advances in Computer Science and Communications
Related Books
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink
Arduino and SCILAB based Projects
Application of Chaos and Fractals to Computer Vision