Dive deep into one of the most important technical and scientific areas of the future, the 2023 Machine Learning Beginner E-Degree Program in 35 hours.
What was once science fiction is rapidly becoming a commonplace and important part of everyday life. Artificial intelligence has changed the way we do business, make decisions, and even interact with each other. The average person is never expected to become an expert in machine learning or AI, but it never hurts to be informed about the technologies shaping the future. That’s why the 2023 Machine Learning E Degree Program for Absolute Beginners is so valuable.
This extensive program offers 35 hours of certification training designed for beginners in machine learning. The program is guided by his Eduonix Learning Solutions, a leading training and skills development organization designed by subject matter experts.
This beginner’s e-degree covers some of machine learning’s most basic tools and technologies, including Python, NumPy, SciPy, Pandas, and Matplotlib. Get acquainted with Python’s many libraries, learn the fundamentals of Python programming, and understand how this general-purpose language became the foundation for AI and ML. You’ll learn techniques for collecting, processing, and visualizing data, mastering inferential statistics and hypothesis testing, developing regression analysis and predictive skills, and more. Throughout the course, you will be exposed to various machine learning algorithms for many applications while working on real-world projects such as predicting the housing market and stock prices. You might even get on track for a career in machine learning.
By the end of the bundle, you’ll have completed five projects and taken a series of quizzes to reinforce your learning. After all is done, you can get a certificate of completion to prove your expertise.
Keep your skills alive in 2023 and beyond. For a limited time, get the 2023 Machine Learning E-Degree Program for Beginners for just $29.99, 90% off from $300.
Prices and availability are subject to change.
