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Price: 2005.00 RUB
Unlock the Power of Machine Learning with Python
Dive into the world of machine learning with Machine Learning Using Python: A Cookbook, 2nd Edition by Chris Albon and Kyle Gallatin. This comprehensive guide offers over 200 practical recipes to tackle real-world ML challenges, from loading and processing text or numerical data to model selection and beyond.
The cookbook covers essential Python libraries like pandas and scikit-learn, with code examples ready to be inserted, combined, and adapted for your own applications. You’ll explore solutions involving vectors, matrices, and arrays, as well as data from CSV, JSON, SQL, databases, cloud storage, and other sources. Topics include data processing, text manipulation, image handling, date and time operations, dimensionality reduction, and feature extraction or selection. Model evaluation and selection are also covered, alongside linear and logistic regression, decision trees, random forests, k-nearest neighbors, support vector machines (SVM), naive Bayes classifiers, clustering, and neural networks.
This second edition updates all examples, adds deep learning tasks and frameworks, and expands sections on tensors, neural networks, and the PyTorch deep learning library. Whether you’re saving or loading trained models, this cookbook provides a hands-on approach to mastering machine learning with Python.
Price: 2005.00 RUR
