{"product_id":"machine-learning-with-python-cookbook-practical-solutions-from-preprocessing-to-deep-learning","title":"Machine Learning with Python Cookbook","description":"This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks.\n\nEach recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.\n\nYou'll find recipes for:\n\nVectors, matrices, and arrays\nWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sources\nHandling numerical and categorical data, text, images, and dates and times\nDimensionality reduction using feature extraction or feature selection\nModel evaluation and selection\nLinear and logical regression, trees and forests, and k-nearest neighbors\nSupport vector machines (SVM), naive Bayes, clustering, and tree-based models\nSaving and loading trained models from multiple frameworks","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":54032110256472,"sku":null,"price":76.99,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/agendabookshop.com\/products\/machine-learning-with-python-cookbook-practical-solutions-from-preprocessing-to-deep-learning","provider":"Agenda Bookshop","version":"1.0","type":"link"}