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Dive into K-Means clustering - an unsupervised learning algorithm for grouping data based on similarity. Learn the math behind it, step-by-step intuition, and practical implementation.
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Understand how unsupervised learning works without labeled data. Learn about clustering, dimensionality reduction, and real-world applications with Python examples.- Published on
Explore classification - the supervised learning approach for labeling data. Learn about binary vs multiclass classification, key algorithms, loss functions, and practical Python examples.- Published on
Understand the differences between URI, URL, and URN - three fundamental identifiers in web technologies.- Published on
Dive into regression - the supervised learning approach used to predict continuous outcomes. Explore common algorithms, loss functions, evaluation metrics, and practical projects.