{"product_id":"machine-learning-pocket-reference-working-with-structured-data-in-python-9781492047544","title":"Machine Learning Pocket Reference: Working with Structured Data in Python","description":"\u003cp\u003eWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. \u003c\/p\u003e\u003cp\u003e Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youâ ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. \u003c\/p\u003e\u003cp\u003e This pocket reference includes sections that cover: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eClassification, using the Titanic dataset \u003c\/li\u003e\n\u003cli\u003eCleaning data and dealing with missing data \u003c\/li\u003e\n\u003cli\u003eExploratory data analysis \u003c\/li\u003e\n\u003cli\u003eCommon preprocessing steps using sample data \u003c\/li\u003e\n\u003cli\u003eSelecting features useful to the model \u003c\/li\u003e\n\u003cli\u003eModel selection \u003c\/li\u003e\n\u003cli\u003eMetrics and classification evaluation \u003c\/li\u003e\n\u003cli\u003eRegression examples using k-nearest neighbor, decision trees, boosting, and more \u003c\/li\u003e\n\u003cli\u003eMetrics for regression evaluation \u003c\/li\u003e\n\u003cli\u003eClustering \u003c\/li\u003e\n\u003cli\u003eDimensionality reduction \u003c\/li\u003e\n\u003cli\u003eScikit-learn pipelines \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eMatt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.\u003c\/p\u003e\u003cbr\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":50504694038802,"sku":"9781492047544","price":21.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_be4f57f8-88aa-4740-9979-41155e00885c.jpg?v=1730825451","url":"https:\/\/surprise-castle.myshopify.com\/products\/machine-learning-pocket-reference-working-with-structured-data-in-python-9781492047544","provider":"Surprise Castle","version":"1.0","type":"link"}