Learning Data Mining with Python - Second Edition

Explore the essential concepts and practical skills for data mining with Python in 'Learning Data Mining with Python'. This book provides hands-on experience crafting effective data analysis pipelines, using key Python libraries like pandas, scikit-learn, and more. You will gain experience with techniques ranging from classification to deep neural network-based object detection.

What this Book will help me do

• Master classification techniques to distinguish datasets based on properties.
• Implement object detection in images using deep neural networks.
• Harness Python libraries, such as pandas and scikit-learn, for efficient data analysis.
• Design data pipelines that transform raw data into actionable insights.
• Apply data mining concepts to solve real-world tasks effectively.

Author(s)

Robert Layton is a seasoned data scientist and author with extensive experience in Python programming and data analysis. Alongside his professional projects, Robert has taught data-related concepts to learners at various skill levels. His engaging style simplifies complex ideas, ensuring accessibility and practicality.

Who is it for?

This book is perfect for Python programmers interested in data mining or data analysts wishing to incorporate Python into their workflow. Beginners will find the step-by-step explanations helpful, while more experienced readers can delve into advanced topics like deep learning. Prior programming knowledge is recommended but data mining expertise is not required.