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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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Learning Jupyter 5

in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java;

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Learning Jupyter

simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its;

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Foundational Python for Data Science

through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;

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IPython Interactive Computing and Visualization Cookbook

interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy;

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Learning Ipython for Interactive Computing and Data Visualization

Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book * Learn the basics;

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The The Applied Data Science Workshop

learning Explore the different functionalities and features of a Jupyter Notebook Discover how Python libraries are used with Jupyter for data;

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Jupyter Cookbook

interactive documents with live code, text and visualizations Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter;

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Beginning Data Science with Python and Jupyter

Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets;

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Data Science Projects with Python

Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Key Features Tackle data science;

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Practical Python Data Visualization

Python Data Visualization you'll master the core concepts of data visualization with Pandas and the Jupyter notebook interface. What You'll;

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Practical Python Data Visualization

. Yoüll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later;

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Hands-On Data Science for Biologists Using Python

instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques;

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Hands-On Data Science for Biologists Using Python

instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques;

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Python

. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts;

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Applied Supervised Learning with Python

input data-has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply;

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Machine Learning with TensorFlow

This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to;

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Applied Deep Learning with TensorFlow 2

fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This;

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Applied Deep Learning with TensorFlow 2

tutorials. This book is for: Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.;

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Machine Learning on Geographical Data Using Python

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data;

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Practical Data Analysis Using Jupyter Notebook

Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to;

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Python for Probability, Statistics, and Machine Learning

, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also;

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Python Machine Learning

Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning;

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Hands-On Data Analysis with NumPy and pandas

, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for;

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Machine Learning with Microsoft Technologies

is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages;

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Machine Learning with Microsoft Technologies

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;

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Python Machine Learning Case Studies

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a;

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