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Comparative Approaches to Using R and Python for Statistical Data Analysis

visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, how-to reference for anyone performing essential;

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An Introduction to Statistics with Python

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;

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Become a Python Data Analyst

Enhance your data analysis and predictive modeling skills using popular Python tools Key Features Cover all fundamental libraries for;

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Mastering Python Data Analysis

off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify;

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Python for R Users

The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to;

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Data Science Using Python and R

produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for;

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Learning Pandas

data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not;

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Training Systems Using Python Statistical Modeling

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features Get introduced to;

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Big Data Analysis with Python

, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for;

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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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Statistical Quality Control - Using MINITAB, R, JMP and Python

data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python;

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Bayesian Approaches in Oncology Using R and OpenBUGS

cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Hands-On Exploratory Data Analysis with Python

visualize results. Using Python for data analysis, you'll work with real-world datasets, understand data, summarize its characteristics, and;

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Advancing into Analytics

exploratory data analysis and hypothesis testing using a programming language. Exploring and testing relationships are core to analytics. By using;

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Learning pandas -

Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book;

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Numerical Python

science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid;

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Bioinformatics with Python Cookbook - Second Edition: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge rese

, metagenomics, automating analysis, population genetics, and more Explore various statistical and machine learning techniques for bioinformatics data;

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Natural Language Processing and Computational Linguistics

techniques for text analysis Book DescriptionModern text analysis is now very accessible using Python and open source tools, so discover how you can;

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Bayesian Analysis with Python

readers to use Bayesian methods for statistical modelling and analysis using Python.;

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An Introduction to Statistics with Python

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common;

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Data Mining for Business Analytics

and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms;

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Learn Data Analysis with Python

. You can then take these techniques and apply them directly to your own projects. If you aren't using Python for data analysis, this book takes;

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Univariate Bivariate & Multivariate Stat

immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started;

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