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Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning;
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business insights from it. * Apply effective data mining models to perform regression and classification tasks. Who This Book Is For If you;
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to compile. Data Mining: Building Competitive Advantage shows you how. You won't just learn the theory and concepts of data mining; you'll;
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works and how to find the internal hidden patterns inside the data. What You Will Learn Comprehend data mining using a visual step-by-step;
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questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking;
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familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use;
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different types of data * Identify the basics of network mining and how to apply it to real-world data sets * Discover methods for detecting the;
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Mining data requires a deep investment in people and time. How can you be sure you're building the right models? What tools help you;
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popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data;
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Explore the world of data science through Python and learn how to make sense of data About This Book * Master data science methods;
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-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and;
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numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all;
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Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You;
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. What you will learn Understand the Salesforce data architecture Explore various data backup and archival strategies Understand how the;
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of iterators, and how they allow algorithms to be applied to the data in different types of container. How you can define your own iterator types;
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Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that;
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, this book will also help you. No previous experience with data mining is expected. What You Will Learn * Apply data mining concepts to;
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Python programming would certainly be useful to play around with the code. What You Will Learn * Explore classification algorithms and;
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. You will learn to use and interpret financial data; find out what we can learn from Pepsi, Krispy Kreme, General Motors, and other companies;
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. You will learn to use and interpret financial data; find out what we can learn from Pepsi, Krispy Kreme, General Motors, and other companies;
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from the concepts learned, and will understand how text mining can be leveraged to analyze the massively available data on social media;
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using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand;
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book well. What You Will Learn * Learn the introductory concepts of machine learning. * Discover different ways to transform data using;
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in psychology-can uncover critical insights about your customers' conscious and unconscious processes Learn how to immediately apply what you've;
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is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields;
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understanding of the nature of spatial data and installing R and QGIS. Then, you'll learn how to use different R packages to import, export, and;
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