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A practical guide to getting the most out of Excel, using it for
data preparation, applying machine learning models (including cloud
services) and understanding the outcome of the data analysis. Key
Features Use Microsoft's product Excel to build advanced
forecasting models using varied examples Cover range of machine
learning tasks such as data mining, data analytics, smart
visualization, and more Derive data-driven techniques using Excel
plugins and APIs without much code required Book DescriptionWe have
made huge progress in teaching computers to perform difficult
tasks, especially those that are repetitive and time-consuming for
humans. Excel users, of all levels, can feel left behind by this
innovation wave. The truth is that a large amount of the work
needed to develop and use a machine learning model can be done in
Excel. The book starts by giving a general introduction to machine
learning, making every concept clear and understandable. Then, it
shows every step of a machine learning project, from data
collection, reading from different data sources, developing models,
and visualizing the results using Excel features and offerings. In
every chapter, there are several examples and hands-on exercises
that will show the reader how to combine Excel functions, add-ins,
and connections to databases and to cloud services to reach the
desired goal: building a full data analysis flow. Different machine
learning models are shown, tailored to the type of data to be
analyzed. At the end of the book, the reader is presented with some
advanced use cases using Automated Machine Learning, and artificial
neural network, which simplifies the analysis task and represents
the future of machine learning. What you will learn Use Excel to
preview and cleanse datasets Understand correlations between
variables and optimize the input to machine learning models Use and
evaluate different machine learning models from Excel Understand
the use of different visualizations Learn the basic concepts and
calculations to understand how artificial neural networks work
Learn how to connect Excel to the Microsoft Azure cloud Get beyond
proof of concepts and build fully functional data analysis flows
Who this book is forThis book is for data analysis, machine
learning enthusiasts, project managers, and someone who doesn't
want to code much for performing core tasks of machine learning.
Each example will help you perform end-to-end smart analytics.
Working knowledge of Excel is required.
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