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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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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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Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as;

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Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as;

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Practical Data Science with Python

foundation with the best data science tools available in Python Add value to yourself, your organization, and society by extracting actionable;

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Python for R Users

scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as;

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Python: Advanced Predictive Analytics

NumPy Master the use of Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression;

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Data Science Using Python and R

. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;

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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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Advancing into Analytics

the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George;

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Python Data Science

Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive;

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Data Science for Marketing Analytics

prior knowledge of Python and experience working with data will help you access this book more easily.;

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Hands-On Predictive Analytics with Python

code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science;

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Mastering Tableau 2019.1

make displaying granular data easier. Next, you'll explore expert-level examples to help you with advanced calculations, mapping, and visual;

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Machine Learning on Geographical Data Using Python

in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data;

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Data Science and Analytics with Python

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business;

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Data Science and Analytics with Python

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business;

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Text Analytics with Python

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax;

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Mastering Predictive Analytics with Python

Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book * Master;

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Healthcare Analytics Made Simple

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;

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Python

* Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported;

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Effective Amazon Machine Learning

teach beginner- to advanced-level machine learning practitioners how to leverage Amazon Machine Learning and complement their existing Data;

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Data Analysis and Visualization Using Python

decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with;

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Data Science for Marketing Analytics

teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both;

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Learning Predictive Analytics With Python

Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite;

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