Introduction To Machine Learning With Python by Andreas C. Müller
A Guide for Data Scientists
A practical, code-focused introduction to core machine learning concepts and workflows using Python and scikit-learn, covering supervised and unsupervised methods, model evaluation and selection, feature engineering and preprocessing, and common algorithms such as linear models, tree-based ensembles, SVMs, and clustering; the book emphasizes hands-on examples, pipelines for reproducible experiments, techniques to avoid overfitting, and guidance for applying ML to real-world data including text and images.
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- Published
- 2016
- Nationality
- American
- Length
- Unknown
- Pages
- Unknown
- Original Language
- English
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