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5 best ways to learn Python for machine learning

Python is one of the somewhat preferred programming languages, which is being used in data science and in designing machine learning algorithms.
5 best ways to learn Python for machine learning. 

1 .Google’s Python Class

This is a free class provided by the developers of Google at Google. It is including written materials, videos, and plenty of code exercises to practice. The first exercises will focus on basics of Python's concepts like strings and lists, in the later exercises which are full programs dealing with text files, processes, and Http connections.

2. Introduction to Data Science using Python

 In this book, you will learn the basics of data science and analytics as well as how can we use Python and scikit-learn. The course will tell you what data science is and how data science can be used. You learn commonly used terms and write some code in Python as well.  

3. Data Science, Machine Learning, Data Analysis, Python & R

 This course is designed by data scientists to help you gain knowledge of complex theory, algorithms, and Python libraries. In every tutorial, you will aquire new skills and improve your learning of this challenging sub-field of data science. The course consists of both Python and R and is also packed with practical exercises that are based on real-life examples.

4. MatPlotLib with Python

This course is designed for those who want to learn a various of ways to display data. With more than 58 lectures and 6 hours of content, this covers almost every major chart that Matplotlib is providing. Made for students who already have a basic understanding of Python. You will learn step-by-step approach to create line graphs, scatter plots, stack plots, bar charts, 3D lines, 3D wireframes, 3D bar charts, 3D scatter plots, geographic maps, live-updating graphs, and  more. Once completed, you will not only have a in depth understanding of the options available for visualising data but will also know how to create well presented, visually appealing graphs.  

5. Data Science with Analogies, Algorithms and Solved Problems

This will help you understanding complex theory, algorithms and coding libraries in an easy way. In every tutorial, you will learn new skills and increase your understanding of this field. It consists of a brief introduction to Python and its libraries and how can we implement this language in machine learning.