From this online tutorial of C, you will learn to create your own applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, etc. Enrollment: 318,259 learners have already enrolled.

It includes both paid and free resources to help you learn Python for Machine Learning and these courses are suitable for beginners, intermediate learners as well as experts. If you are interested in getting started with the field of machine learning then this is an excellent place to begin. Divided into two parts the classes first discuss the importance of this area and how it can be applied to solve some of the most pressing issues of the world. Following this you will explore some of the fundamental topics like supervised and unsupervised learning, algorithms and evaluation of ML model. This comprehensive course uses a practical approach to explain the foundational jargons and the techniques behind the concepts. The initial lectures talk about the dimensions of data, how to perform clustering and apply the different methods of predictive modeling based on the problem.