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Data mining and machine learning are two interrelated fields that aim to discover patterns, extract knowledge, and make predictions from data. In this course, you will learn the fundamental concepts, methods, and applications of data mining and machine learning, such as how to define and solve various learning problems, how to preprocess and analyze data, how to design and implement different learning algorithms, and how to evaluate and compare the results. You will also gain hands-on experience with popular tools and frameworks for data mining and machine learning, such as Python, scikit-learn, TensorFlow, and PyTorch. By the end of this course, you will be able to apply data mining and machine learning techniques to real-world problems and datasets.

Skill Level: Beginner
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