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using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural;
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using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural;
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. What You Will Learn Create advanced data visualizations via R using the ggplot2 package Ingest data using R and Python to;
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Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Key Features A step;
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exploratory data analysis and hypothesis testing using a programming language. Exploring and testing relationships are core to analytics. By using;
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Step-by-step guide to build high performing predictive applications Key Features Use the Python data analytics ecosystem to implement end;
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advanced functionalities. Using Tableau Hyper and Tableau Prep, you'll be able to handle and prepare data easily. You'll gear up to perform complex;
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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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Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax;
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Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;
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data using various Python tools * A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For;
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, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you'll be able to perform data preparation;
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indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how;
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the Python programming language Key Features Use data analytics and machine learning in a sales and marketing context Gain insights;
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will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real;
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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;
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Enhance your data analysis and predictive modeling skills using popular Python tools Key Features Cover all fundamental libraries for;
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Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas;
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Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas;
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explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and;
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and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms;
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Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build;
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Intermedate-Advanced user level;
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Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running;
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