The Python Machine Learning course is a comprehensive course that covers the basics of Python programming and machine learning. The course will help you understand how to use Python to analyze and interpret data sets and uncover hidden insights.
This Python Machine Learning course is an excellent way to become acquainted with recent data science techniques. This Python course will immerse you in Python programming, teach you how to interpret data sets of all shapes and sizes, and show you how to use this powerful tool for analysis.
You'll begin by learning the fundamentals of Python, such as data types, variables, and control flow. Then we'll go over advanced topics like machine learning algorithms, data visualization, various classification algorithms, K-Nearest Neighbors (KNN), decision trees, Logistic Regression, and deep learning. You'll be an expert at using Python to uncover hidden insights and make data-driven decisions by the end of the course.
Our course is designed to serve a wide range of industries, including but not limited to:
Choose the best training options to suit your needs
Training Options | Features |
Live Virtual Training |
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Customized Corporate Training |
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Classroom Training |
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Here is the list of other major locations where Edoxi offers Python Machine Learning Certification Course
Country | UAE |
Course Location | Dubai |
The Python Machine Learning course is a comprehensive course that covers the basics of Python programming and machine learning. The course will help you understand how to use Python to analyze and interpret data sets and uncover hidden insights.
This course is suitable for anyone with an interest in data science and a basic understanding of programming concepts. It's particularly useful for those looking to gain a competitive edge in the field of data science.
Certification: Upon successful completion of the course and passing the final exam, you will receive a certificate of completion that you can use to showcase your new skills to potential employers
The course is designed to take around 35 hours to complete. However, the actual time it takes to complete the course will depend on your individual pace of learning.
Yes, even after the course is over, you'll have access to our network of alumni and instructors for ongoing support and guidance.