The Supervised Learning Workshop - Second Edition

The Supervised Learning Workshop is your practical guide to mastering supervised machine learning using Python. This book walks you through building predictive models step-by-step, starting from the basics to advanced techniques like ensemble modeling and performance evaluation. By the end, you'll be fully equipped to create and optimize machine learning models for real-world applications.

What this Book will help me do

• Learn to preprocess and label your data using Python libraries like pandas.
• Develop expertise in exploratory data analysis and enhance your understanding of data trends.
• Build and evaluate classification models using logistic regression and decision tree algorithms.
• Master linear regression and autoregression techniques to improve predictive power.
• Utilize ensemble methods and advanced evaluation techniques for better model accuracy.

Author(s)

Blaine Bateman, Ashish Ranjan Jha, and team bring years of industrial and academic experience to this approachable guide. Their expertise in machine learning is matched by their passion for empowering learners, combining theoretical insight with practical exercises to ensure productive skill development.

Who is it for?

This book is ideal for beginners in data science seeking hands-on experience with supervised machine learning. Whether you're a professional exploring predictive analytics or a student studying machine learning, this workshop-style guide fits perfectly. A working knowledge of Python is advisable to follow the exercises effectively. The content is crafted to benefit learners aiming to implement machine learning in real-world scenarios.