Introduction to Machine Learning with Python By Andreas C. Müller free pdf download. Introduction to Machine Learning with Python serves as a practical guide for building machine learning solutions using Python and the sci-kit-learn library. The authors emphasize the application of machine learning algorithms over the mathematical theories behind them.
The book covers key concepts and applications of machine learning, the pros and cons of commonly used machine learning algorithms, how to represent data processed by machine learning, advanced techniques for model evaluation and parameter tuning, the concept of pipelines for chaining models and encapsulating workflow, methods for working with text data, including text-specific processing techniques, and tips for enhancing your machine learning and data science skills.
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