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Название: Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Автор: Jesus Rogel-Salazar
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 420
Размер: 13 Mb
Язык: English

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications.

Название: R Visualizations: Derive Meaning from Data
Автор: David Gerbing
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 250
Размер: 14.4 Mb
Язык: English

R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author’s lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses.

Название: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)
Автор: Chester Ismay, Albert Y. Kim
Издательство: Chapman and Hall/CRC
Год: 2020
Формат: True PDF
Страниц: 460
Размер: 22.3 Mb
Язык: English

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout.

Название: Python for Beginners: Master Data Science, Artificial Intelligence and Machine Learning with this Smart Python Programming Language Guide
Автор: Oscar Brogan
Издательство: Amazon
Год: 2020
Формат: azw3/pdf(conv.)
Страниц: 306
Размер: 2.2 Mb
Язык: English

Some of the highlights of the book include:
Key features and advantages of learning to code Python as well as the history of how Python programming was created.
Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux).
The concept of Python data types is presented in exquisite detail with various examples of each data type.
Learn how to create Python variables and assign desired data type to them....

Название: Go Brain Teasers: 25 brain teasers to tickle your mind and help you master the Go programming language
Автор: Miki Tebeka
Издательство: Amazon
Год: 2020
Формат: pdf/azw3/mobi
Страниц: 100
Размер: 1 Mb
Язык: English

In this book you'll find 25 such brain teasers. Each come with a solution and an explanation on Go's internals and why the program behave this way. You'll have fun, and learn a lot about the Go programming language along the way.

Название: Regression Models With Python For Beginners: Theory and Applications of Linear Models and Logistic Model with python from Scratch
Автор: AI Publishing
Издательство: AI Publishing
Год: 2020
Формат: pdf/azw3/mobi
Страниц: 130
Размер: 10 Mb
Язык: English

You will learn all about regression analysis in three modules, one for simple linear regression, one for multiple regression, and a final one for logistic regression. All three modules will contain many hands-on projects using real-world datasets.

Название: Data Preprocessing with Python for Absolute Beginners: Step-by-Step Guide with Hands-on Projects and Exercises (Feature Engineering and Data Preparation techniques for Machine Learning) )
Автор: AI Publishing
Издательство: AI Publishing
Год: 2020
Формат: pdf/azw3
Страниц: 250
Размер: 10.2 Mb
Язык: English

The book follows a very simple approach. It is divided into nine chapters. Chapter 1 introduces the basic concept of data preparation, along with the installation steps for the software that we will need to perform data preparation in this book.

Название: Deep Learning Fundamentals for Beginners
Автор: AI Publishing
Издательство: AI Publishing
Год: 2019
Формат: pdf/azw3/mobi
Страниц: 162
Размер: 10.8 Mb
Язык: English

You will learn all about statistics, Probability, Machine Learning. Fundamentals and Deep Learning. All the modules will contain examples and images to help beginner understand.

Название: Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide
Автор: AI Publishing
Издательство: AI Publishing
Год: 2020
Формат: pdf/azw3
Страниц: 300
Размер: 15 Mb
Язык: English

Data Visualization using Python for Beginners
Are you looking for a hands-on approach to learn Python for Data Visualization Fast?
Do you need to start learning Python for Data Visualization from Scratch?
This book is for you.

Название: Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization 2nd Edition
Автор: AI Publishing
Издательство: AI Publishing
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 182
Размер: 10.4 Mb
Язык: English

Python Coding and Python for Data Analysis for Beginners with Hands-On Projects
Are you looking for a hands-on approach to learn Python coding and Python for Data Analysis fast?
Do you need to start learning Python coding and Data Analysis from Scratch?
This book is for you.