Top 12 Python Packages for Machine Learning: Numpy, Pandas, Matplotlib, Seaborn, Scipy, Scikit-Learn , NLTK, Keras, TensorFlow, Pytorch, Theano, CNTK
Lovers of vintage movies would have definitely heard of the Monty Python series. The programming language that it inspired continues to remain among the most popular languages. Guess why Python has consistently topped the charts of the most popular programming languages? Because of its rich environment of libraries and tools, its easy code readability and the fact that it is so easy to pick up. You name the domain, and you will get Python libraries available, to help you out in solving problems. Right from Artificial Intelligence, Data Science, Machine Learning, Image Processing, Speech Recognition, Computer Vision and more, Python has numerous uses. These libraries and frameworks are open source and can be easily integrated with the development environment that one has.
These software frameworks, the platforms which provides necessary libraries and code components, are backbones for devloping applications. Read on to see which are the top ML frameworks and libraries in Python.
In this tutorial, we'll learn Python for Big Data: Top 12 Convincing Reasons To Choose Python for Big Data. What is Python? Python is a programming language that is most widely used in Data Science, Machine Learning,...
In this post, we'll learn top 30 Python Tips and Tricks for Beginners
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If you want to become a machine learning professional, you’d have to gain experience using its technologies and also by completing projects. Top Machine Learning Projects in Python For Beginners 
Many professionals and 'Data' enthusiasts often ask, “What's the difference between Data Science, Machine Learning and Big Data?”. Let's clear the air. If you are still wondering about it then this article is for you.