Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This comprehensive guide provides over 200 practical recipes for solving machine learning challenges in your work.

With a focus on Python and its libraries, including pandas and scikit-learn, you'll learn how to address specific problems from loading data to training models and leveraging neural networks.

Each recipe includes code that can be copied, pasted, and run with a toy dataset for immediate results.

The book also covers dimensionality reduction, model evaluation and selection, linear and logical regression, trees and forests, SVM, clustering, and more.

Whether you're a beginner or an experienced machine learning professional, this guide will help you go beyond theory and concepts by providing the nuts and bolts you need to construct working applications.