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The The Applied Data Science Workshop - Get started with the applications of data science and techniques to explore and assess data effectively, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R931
Discovery Miles 9 310
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The The Applied Data Science Workshop - Get started with the applications of data science and techniques to explore and assess data effectively, 2nd Edition (Paperback, 2nd Revised edition)
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Designed with beginners in mind, this workshop helps you make the
most of Python libraries and the Jupyter Notebook's functionality
to understand how data science can be applied to solve real-world
data problems. Key Features Gain useful insights into data science
and machine learning Explore the different functionalities and
features of a Jupyter Notebook Discover how Python libraries are
used with Jupyter for data analysis Book DescriptionFrom banking
and manufacturing through to education and entertainment, using
data science for business has revolutionized almost every sector in
the modern world. It has an important role to play in everything
from app development to network security. Taking an interactive
approach to learning the fundamentals, this book is ideal for
beginners. You'll learn all the best practices and techniques for
applying data science in the context of real-world scenarios and
examples. Starting with an introduction to data science and machine
learning, you'll start by getting to grips with Jupyter
functionality and features. You'll use Python libraries like
sci-kit learn, pandas, Matplotlib, and Seaborn to perform data
analysis and data preprocessing on real-world datasets from within
your own Jupyter environment. Progressing through the chapters,
you'll train classification models using sci-kit learn, and assess
model performance using advanced validation techniques. Towards the
end, you'll use Jupyter Notebooks to document your research, build
stakeholder reports, and even analyze web performance data. By the
end of The Applied Data Science Workshop, you'll be prepared to
progress from being a beginner to taking your skills to the next
level by confidently applying data science techniques and tools to
real-world projects. What you will learn Understand the key
opportunities and challenges in data science Use Jupyter for data
science tasks such as data analysis and modeling Run exploratory
data analysis within a Jupyter Notebook Visualize data with
pairwise scatter plots and segmented distribution Assess model
performance with advanced validation techniques Parse HTML
responses and analyze HTTP requests Who this book is forIf you are
an aspiring data scientist who wants to build a career in data
science or a developer who wants to explore the applications of
data science from scratch and analyze data in Jupyter using Python
libraries, then this book is for you. Although a brief
understanding of Python programming and machine learning is
recommended to help you grasp the topics covered in the book more
quickly, it is not mandatory.
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