Description: Machine Learning With Python Cookbook : Practical Solutions from Preprocessing to Deep Learning, Paperback by Gallatin, Kyle; Albon, Chris, ISBN 1098135725, ISBN-13 9781098135720, Brand New, Free shipping in the US 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. 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. You'll find recipes for:Vectors, matrices, and arraysWorking with data from CSV, JSON, SQL, databases, cloud storage, and other sourcesHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), naive Bayes, clustering, and tree-based modelsSaving and loading trained models from multiple frameworks
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Book Title: Machine Learning With Python Cookbook : Practical Solutions from
Number of Pages: 380 Pages
Publication Name: Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2023
Item Height: 0.9 in
Subject: Programming / General, Intelligence (Ai) & Semantics, Neural Networks, Programming Languages / Python
Item Weight: 25.7 Oz
Type: Textbook
Item Length: 9.2 in
Author: Kyle Gallatin, Chris Albon
Subject Area: Computers
Item Width: 7.5 in
Format: Trade Paperback
