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Books > Computing & IT > Applications of computing > Databases > Data mining
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Learning Data Mining with Python - (Paperback, 2nd Revised edition)
Loot Price: R1,352
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Learning Data Mining with Python - (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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Harness the power of Python to develop data mining applications,
analyze data, delve into machine learning, explore object detection
using Deep Neural Networks, and create insightful predictive
models. About This Book * Use a wide variety of Python libraries
for practical data mining purposes. * Learn how to find,
manipulate, analyze, and visualize data using Python. *
Step-by-step instructions on data mining techniques with Python
that have real-world applications. Who This Book Is For If you are
a Python programmer who wants to get started with data mining, then
this book is for you. If you are a data analyst who wants to
leverage the power of Python to perform data mining efficiently,
this book will also help you. No previous experience with data
mining is expected. What You Will Learn * Apply data mining
concepts to real-world problems * Predict the outcome of sports
matches based on past results * Determine the author of a document
based on their writing style * Use APIs to download datasets from
social media and other online services * Find and extract good
features from difficult datasets * Create models that solve
real-world problems * Design and develop data mining applications
using a variety of datasets * Perform object detection in images
using Deep Neural Networks * Find meaningful insights from your
data through intuitive visualizations * Compute on big data,
including real-time data from the internet In Detail This book
teaches you to design and develop data mining applications using a
variety of datasets, starting with basic classification and
affinity analysis. This book covers a large number of libraries
available in Python, including the Jupyter Notebook, pandas,
scikit-learn, and NLTK. You will gain hands on experience with
complex data types including text, images, and graphs. You will
also discover object detection using Deep Neural Networks, which is
one of the big, difficult areas of machine learning right now. With
restructured examples and code samples updated for the latest
edition of Python, each chapter of this book introduces you to new
algorithms and techniques. By the end of the book, you will have
great insights into using Python for data mining and understanding
of the algorithms as well as implementations. Style and approach
This book will be your comprehensive guide to learning the various
data mining techniques and implementing them in Python. A variety
of real-world datasets is used to explain data mining techniques in
a very crisp and easy to understand manner.
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