The Python Programming for Machine Learning course shall focus you on the elements and features available in Python programming for Machine Learning tasks, along with a few demonstrated samples. It shall begin with introducing you to the NumPy library and continue with helping you understand its arrays, intersection, differences, loading, and saving as you follow the first half of the course.   The second part engages you by covering Pandas library and its objects, dataframes, and functions. Take up the quiz at the end of the course to test your skills and evaluate your gains to secure your certificate.    Enroll in the Machine Learning course and embark on your career with the professional Post Graduate certificate. After this free, self-paced, beginner's guide to Python for Machine Learning, you can escalate your learning to different concepts in Machine Learning in depth with millions of aspirants across the globe!   Great Learning offers a free course on Python for machine learning. This course provides comprehensive coverage of the fundamentals of Python programming for data science, machine learning and AI. It includes topics such as Python data structures, functions, classes, file handling, web scraping, data visualization, machine learning algorithms, deep learning, and more.  The course covers the fundamentals of Python and its use in the context of data science and machine learning. It also covers the basics of supervised and unsupervised learning, and helps students gain a strong understanding of the principles of data science and machine learning. The course provides hands-on experience and code examples to help learners understand complex concepts and apply them in a practical setting. With this course, learners can gain a deep understanding of the Python programming language and its potential applications in data science and machine learning. 

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