Introduction to Machine Learning
Read OriginalThis article compiles approximately 90 machine learning lectures recorded in 2020-2021, organized into sections covering introduction to ML, computational foundations with Python, tree-based methods, model evaluation, dimensionality reduction, and Bayesian methods. All code examples use Python and popular libraries like NumPy and scikit-learn.
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