August 2016
Beginner to intermediate
268 pages
6h 34m
English
Overview
Mastering Data Mining with Python guides you through advanced techniques to analyze and extract meaningful patterns from your data using Python. You'll dive into topics like association rule mining, sentiment analysis, and anomaly detection, all explained with practical examples and real-world scenarios.
What this Book will help me do
- Learn how to find frequent itemsets and create association rules in large datasets.
- Master advanced techniques in entity matching and record linkage for diverse data types.
- Understand and apply network analysis to uncover critical insights from data.
- Develop skills to perform sentiment analysis and named entity recognition on textual data.
- Gain expertise in text summarization, topic modeling, and anomaly detection using Python tools.
Author(s)
Megan Squire is an experienced data scientist and Python programmer with years of expertise in data analysis and mining. She has a passion for teaching and explaining complex topics in an understandable way. Megan has authored several books in the field and enjoys sharing her knowledge to help others advance their careers.
Who is it for?
This book is ideal for data scientists who have a foundational understanding of data mining techniques and a good knowledge of Python. It is perfect for professionals looking to enhance their data analysis skills to an advanced level. If you're eager to tackle complex data mining projects and explore cutting-edge techniques, this book is well-suited for you.
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