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Learning NumPy Array

of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical;

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NumPy Essentials

/ analytical modules by yourself * Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you;

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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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Mastering Numerical Computing with NumPy

will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced;

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NumPy Cookbook

Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with;

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Numerical Python

, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and;

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NumPy Beginner's Guide ()

The book is written in beginner's guide style with each aspect of NumPy demonstrated with real world examples and required screenshots. If;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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NumPy

0;...

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Hands-on Machine Learning with Python

structures in NumPy and Pandas * Demonstrate machine learning techniques and algorithm * Understand supervised learning and unsupervised learning;

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Hands-on Machine Learning with Python

Review data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithm Understand supervised learning and;

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SciPy and NumPy

SciPy is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides;

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Practical Computer Vision Applications Using Deep Learning with CNNs

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the;

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Python 3 for Machine Learning

provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The;

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Deep Learning from the Basics: Python and Deep Learning

NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation-an efficient way to;

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Python Data Science Handbook

do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar;

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Welding and Cutting Case Studies with Supervised Machine Learning

learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also;

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Welding and Cutting Case Studies with Supervised Machine Learning

learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also;

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Python

wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn * Get acquainted with NumPy and use;

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Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An

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Introduction to Computation and Programming Using Python, third edition

or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along;

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Python Feature Engineering Cookbook

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries;

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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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Apache Spark for Data Science Cookbook

MLLib, SciPy, NumPy, and Pandas to gain insights from your data Who This Book Is For This book is for novice and intermediate level data;

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