{"product_id":"machine-learning-with-python-cookbook-practical-solutions-from-preprocessing-to-deep-learning-9781098135720","title":"Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning","description":"\u003cp\u003eThis 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. \u003c\/p\u003e\u003cp\u003e Each 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. \u003c\/p\u003e\u003cp\u003e You'll find recipes for: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eVectors, matrices, and arrays \u003c\/li\u003e\n\u003cli\u003eWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sources \u003c\/li\u003e\n\u003cli\u003eHandling numerical and categorical data, text, images, and dates and times \u003c\/li\u003e\n\u003cli\u003eDimensionality reduction using feature extraction or feature selection \u003c\/li\u003e\n\u003cli\u003eModel evaluation and selection \u003c\/li\u003e\n\u003cli\u003eLinear and logical regression, trees and forests, and k-nearest neighbors \u003c\/li\u003e\n\u003cli\u003eSupport vector machines (SVM), naive Bayes, clustering, and tree-based models \u003c\/li\u003e\n\u003cli\u003eSaving and loading trained models from multiple frameworks \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/12\/2023\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781098135720\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 410","brand":"Kyle Gallatin, Chris Albon","offers":[{"title":"Default Title","offer_id":43049524199605,"sku":"9781098135720","price":67.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/files\/img_6f38b991-34a4-4b9a-a8b9-71f0269f3254.jpg?v=1689690794","url":"https:\/\/pastforward.org\/products\/machine-learning-with-python-cookbook-practical-solutions-from-preprocessing-to-deep-learning-9781098135720","provider":"Past Forward","version":"1.0","type":"link"}