About Course
Learn the fundamentals of machine learning and how to build models that can learn from data and make predictions. This course covers supervised and unsupervised learning, algorithms like regression, decision trees, clustering, and evaluation techniques. Gain practical experience using Python libraries such as Scikit-learn to solve real-world problems.
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