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scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as;
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. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;
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foundation with the best data science tools available in Python Add value to yourself, your organization, and society by extracting actionable;
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Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive;
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Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business;
Vergelijkbare producten zoals Data Science and Analytics with Python
Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as;
Vergelijkbare producten zoals Advanced Data Science and Analytics with Python
Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as;
Vergelijkbare producten zoals Advanced Data Science and Analytics with Python
prior knowledge of Python and experience working with data will help you access this book more easily.;
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code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science;
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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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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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teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both;
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Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;
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about data manipulation into R and Python programming. This practical book guides you through: Foundations of analytics in Excel: Use;
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transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask;
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This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to;
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Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;
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practices to improve and optimize machine learning systems and algorithms * Ask - and answer - tough questions of your data with robust statistical;
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NumPy Master the use of Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression;
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Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image;
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operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;
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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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