Python for Machine Learning
Secure a score in the leading technology domains by taking this Python for Machine Learning course. Master NumPy and Pandas tools and techniques for arrays, intersection, objects, and functions for free online.
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About this Course
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, data frames, 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 our Machine Learning courses and embark on your career with professional Post Graduate certificates. 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!
Course Outline
We shall understand one-dimensional labeled arrays in this section. We will learn to import the Pandas library, create a series object using the inbuilt data type, and work with it with demonstrated code snippets.
We will learn about the 2-dimensional labeled data structures in this section. We shall understand how to create and work with the dataframe using the dictionary with an example and demonstrated code snippets.
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