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Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you;
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For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science;
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Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;
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Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;
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produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for;
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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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-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning;
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Get a hands-on, fast-paced introduction to the Python data science stack Explore ways to create useful metrics and statistics from large;
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Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business;
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experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis;
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utilize data science tools in Python, such as specialized machine learning algorithms and statistical modeling Build a strong data science;
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Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience;
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A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science;
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This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior;
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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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understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;
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( This is not your average Python book I think this book is a great text for anyone teaching CS1 ). With a focus on computational problem solving;
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for each lab project are available on the author's website. The modules include data files and sample Python code that students can copy and;
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hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data;
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learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer;
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Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features;
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you re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data;
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language Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer;
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processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation;
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. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development;
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This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;
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