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About This Book * Dive deeper into data mining with Python - don't be complacent, sharpen your skills! * From the most common elements;
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Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;
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of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for;
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data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful;
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data mining purposes. * Learn how to find, manipulate, analyze, and visualize data using Python. * Step-by-step instructions on data mining;
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questions of your data * Learn how to build neural networks using Keras and Theano * Find out how to write clean and elegant Python code that will;
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is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a;
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, and explore data using graphical and numerical summaries * Leverage the IPython environment to efficiently analyze data with Python * Packed;
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Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability;
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that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries;
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of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications;
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provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book * Master;
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Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting;
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Data mining is a process which deals with the discovery of patterns in large data sets. It applies methods from the fields of statistics;
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Untangle your web scraping complexities and access web data with ease using Python scripts Key Features Hands-on recipes for advancing your;
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Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data;
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Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used;
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. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration;
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why conventional methods for working with it are inadequate. Then, writing for business professionals-not just data mining specialists-they;
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Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real;
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datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process;
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HTML5 and JavaScript toolkits Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter;
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