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learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value;
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learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;
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with Python Machine Learning from scratch or extend your knowledge in Data Science, this is a must-have guide. Machine Learning is changing;
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data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;
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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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of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with;
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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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DescriptionPython Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step;
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machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn;
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DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers;
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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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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;
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Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;
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Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The;
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data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured;
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This fourth edition of Python Pocket Reference has been thoroughly revised to cover the latest language release, Python 3.x, along with;
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you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python;
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in working with Python in Jupyter Notebooks, you'll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the;
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working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark * Comprehensive practical;
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-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into;
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