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Data Science Applications using Python and R

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Data Science Using Python and R

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;

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Python for R Users

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;

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Advanced Analytics in Power BI with R and Python

. What You Will Learn Create advanced data visualizations via R using the ggplot2 package Ingest data using R and Python to;

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Learn Python by Building Data Science Applications

of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using;

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Data Science with SQL Server Quick Start Guide

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to;

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Hands-On Data Science with Anaconda

, you'll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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Python Data Science Essentials -

science using Python 3.5 * Save time (and effort) with all the essential tools explained * Create effective data science projects and avoid;

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Mastering Python for Data Science

using Python and its libraries * Create data visualizations and mine for patterns * Advanced techniques for the four fundamentals of Data;

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Classic Computer Science Problems in Python

Search * Neural networks and genetic algorithms * Written for data engineers and scientists with experience using Python;

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Practical Data Science Cookbook -

of situations with examples using the two most popular programming languages for data analysis-R and Python. Style and approach This step-by-step;

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R and Python for Oceanographers

on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;

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R Data Science Quick Reference

. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R;

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Linear Algebra and Its Applications with R

provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world;

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R 4 Data Science Quick Reference

data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with;

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Essentials of Data Science and Analytics

, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R;

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R 4 Data Science Quick Reference

then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications;

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Python Geospatial Development - Third Edition

applications based around maps and geospatial data using Python 3.x * Install and use various toolkits and obtain geospatial data for use in your;

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A Hands-On Introduction to Data Science

continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples;

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Data Science with Julia

base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;

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Data Science with Julia

base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;

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Hands-On Data Structures and Algorithms with Python

Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental;

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Numerical Python

engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data;

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Data Analysis and Visualization Using Python

Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.;

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Data Science at the Command Line

and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality;

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