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A Practical Guide to Machine Learning with Python

A Practical Guide to Machine Learning with Python

This course teaches you how to code basic machine learning models. The content is designed for beginners with general knowledge of machine learning, including common algorithms such as linear regression, logistic regression, SVM, KNN, decision trees, and more. If you need a refresher, we have summarized key concepts from machine learning, and there are overviews of specific algorithms dispersed throughout the course.

✔ Learn fundamental principles and techniques of machine learning.
✔ Understand the benefits and drawbacks of a variety of common machine learning methods.
✔ The key premise of the course is to teach you how to code basic machine learning models.
✔ Develop skills with using machine learning tools to solve real-world issues.
✔ Learn the fundamentals of different learning paradigms (supervised, unsupervised, etc.).

If you want to learn what machine learning is and how it works, then this course is for you.

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