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Python Machine Learning -

is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep;

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Hands-On Data Science and Python Machine Learning

techniques of data analysis * Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods * Learn how;

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Building Machine Learning Systems with Python

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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Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;

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Machine Learning on Geographical Data Using Python

, 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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Python Machine Learning

Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn effective strategies and best;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Training Systems Using Python Statistical Modeling

, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive;

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Machine Learning Applications Using Python

where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;

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Introduction to Data Science

experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Python Machine Learning

regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is forIf you know some Python and you;

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Machine Learning in Python

analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great;

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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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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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Hands-On Data Science for Biologists Using Python

: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book;

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Hands-On Data Science for Biologists Using Python

: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Introduction to Machine Learning with Python

Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy;

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Machine Learning Guide for Oil and Gas Using Python

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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Python Machine Learning for Beginners

Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a;

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Practical Machine Learning

learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can;

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Machine Learning with Python

Machine Learning with pythonHow to organizing data using effective pre-processing techniques

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  • Practical Time Series Analysis Prediction with Statistics and Machine Learning

    series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use;

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    Mastering Machine Learning with Python in Six Steps

    fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mininganalysis;

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    Mastering Machine Learning with Python in Six Steps

    of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mininganalysis concepts;

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    Python Machine Learning Cookbook

    learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions;

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    Einde inhoud

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