Applied Supervised Learning with Python

Applied Supervised Learning with Python is your guide to understanding key machine learning techniques using Python. By working through real-world examples and leveraging powerful libraries like scikit-learn, Matplotlib, and Seaborn, you will develop practical skills in data cleaning, model building, and validation.

What this Book will help me do

• Master supervised learning concepts with hands-on Python examples.
• Implement machine learning algorithms such as regressions and classifiers.
• Apply data visualization techniques to better understand your datasets.
• Build and combine models using ensemble techniques for improved results.
• Validate models effectively using cross-validation and performance metrics.

Author(s)

Benjamin Johnston and Mathur are experts in applied machine learning with extensive experience in coding with Python and data science. Their collaborative approach makes this book accessible to a wide range of readers. With many years of hands-on teaching and field application, they aim to bring clarity and practicality to the topics included.

Who is it for?

This book is designed for aspiring data scientists and Python developers who want to integrate machine learning into their skillset. A basic knowledge of Python concepts and programming fundamentals will help you get the most out of the book. This book is especially suitable for professionals aiming to apply machine learning in real-world projects. If you're eager to understand how machine learning can solve business problems, this book is for you.