Python for Machine Learning
Free Course on Machine Learning Using Python
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.
What you learn in Python for Machine Learning ?
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, dataframes, and functions. Take up the quiz at the end of the course to test your skills and evaluate your gains to secure your free 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.
Course Outline
In this section, you will be introduced to the NumPy library to add functions and methods to the program without actually writing the code.
There are three different modules to join Numpy arrays: vstack, hstack, and column stack. You will learn all these methods one by one in this module.
We shall understand what sect difference and intersection are at the beginning of this section. We shall then understand how to extract the exact elements by excluding other elements from the array with demonstrated code snippets.
This section will explain and demonstrate working with various mathematical operations using arrays like sum, increment, mean and median.
We will understand how to load and store a NumPy array in this section. We shall learn to work with arrays, starting from creating a NumPy array to storing and loading it with demonstrated sample codes.
Our course instructor
Mr. Bharani Akella
Data Scientist
Share your certificate & get noticed
With this course, you get
Multi device access
Learn anytime, anywhere
Completion Certificate
Stand out to your professional network
1.5 Hours
of self-paced video lectures
