Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
$65.99
Description
Book Synopsis: This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.
Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.
You’ll find recipes for:
- Vectors, matrices, and arrays
- Handling numerical and categorical data, text, images, and dates and times
- Dimensionality reduction using feature extraction or feature selection
- Model evaluation and selection
- Linear and logical regression, trees and forests, and k-nearest neighbors
- Support vector machines (SVM), naïve Bayes, clustering, and neural networks
- Saving and loading trained models
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Details
Looking to enhance your machine learning skills? Look no further than the Machine Learning with Python Cookbook! With nearly 200 self-contained recipes, this practical guide is packed with solutions to help you tackle any machine learning challenge you may encounter in your daily work. Whether you're a seasoned Python user or just starting to explore the world of machine learning, this cookbook is your go-to resource.
Loaded with code examples, this cookbook ensures that you can confidently implement the recipes into your own projects. From handling data to model selection, dimensionality reduction to evaluating and selecting models, this cookbook covers it all. You'll even find recipes for saving and loading trained models, making it easy to apply your machine learning solutions in real-world applications.
What sets this cookbook apart is the detailed discussions accompanying each recipe. These discussions provide valuable context and explanations, giving you a deeper understanding of the solution and how it can be applied. The Machine Learning with Python Cookbook is the ultimate resource that takes you beyond theory and concepts, equipping you with the practical skills needed to construct working machine learning applications.
Ready to level up your machine learning game? Get your hands on the Machine Learning with Python Cookbook today and start solving your machine learning challenges with ease!
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