Machine learning Libraries in python.

“If you want to teach people a new way of thinking, don’t bother trying to teach them. Instead, give them a tool, the use of which will lead to new ways of thinking.”
― Richard Buckminster Fuller

Machine learning is slowly slinking into society. The need to have the right tools to use when performing Machine learning will yield the expected results. This article will help you to learn the python libraries used in Machine learning.

python libraries

Python libraries

Library, a collection of code integrated into Python used in the programming of complex problems. Python libraries, modules that provide access to system functionality such as file I/O, that would not be accessed by a programmer. These libraries make it easy to create code that solves complex problems.


Numpy library




Pandas is a fast, powerful, flexible, and easy to use open-source data analysis and manipulation tool. It is the most common tool used by Data analyst Data scientists working with data and use the python platform.


It is an open-source, easy to learn neural network library written in python with the capability of running on top of Tensorflow, R or Theano. It’s designed with the focus of experimenting with deep learning techniques, such as creating layers for neural networks and maintaining the concepts of shapes and mathematical details.

keras library

Sci-kit Learn



It is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter and GTK.


This is an open source Python library that provides a high level API data visualization it is based on matplotlib. It provides a high-level interface for drawing informative statistical graphics.


This is an open source machine learning library that is based on the torch library. It is used for applications such as computer vision and natural language processing.



This is a library that is categorized among the most used Data Science libraries.It is a library that is used in the scraping of data. It is a great tool for scraping data in Machine Learning models.


Intensive training for a career in artificial intelligence and machine learning.