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The Python community has developed many features that assist programmers with machine learning implementation. As a language, Python's simplicity, consistency, platform freedom, flexibility, and useful libraries have made it a very popular choice for machine learning for data science and AI.
In this IBM machine learning with Python training, you will learn about supervised vs. unsupervised learning. You will look into how statistical modeling relates to machine learning, and you will do a comparison of each. You will explore many popular algorithms, including classification, regression, clustering, and dimensional reduction. And you will investigate popular models such as train/test split, root means squared error (RMSE), and random forests. You will look at real-life examples of machine learning and see how it affects society. Plus, you will discover how to transform your theoretical knowledge into a practical skill using hands-on labs.
Learning to analyze data with Python is a key skill for anyone who wants to excel in the field of data science. This machine learning with Python course will provide you with an excellent foundation in using Python for machine learning, while also allowing you to take another step toward earning an IBM Data Science Professional Certificate.

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Last Update : Jul 08, 2023 9:08 AM
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Item  Owner  : SkillUp Online
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