Machine Learning Pocket Reference: Working with Structured Data in Python

This comprehensive guide to structured machine learning is a must-have for programmers, data scientists, and AI engineers.

With detailed notes, tables, and examples, it provides a valuable resource for navigating the basics of machine learning.

The book covers classification with structured data, clustering, predicting continuous values (regression), and reducing dimensionality, among other topics.

It also includes sections on metrics and classification evaluation, regression examples using k-nearest neighbor, decision trees, boosting, and more, as well as metrics for regression evaluation.

Whether you're a beginner or an experienced practitioner, this book will help you master the basics of structured machine learning and take your skills to the next level.