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Hands-On Machine Learning with Microsoft Excel 2019
Hands-On Machine Learning with Microsoft Excel 2019

Hands-On Machine Learning with Microsoft Excel 2019: Build complete data analysis flows, from data collection to visualization

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Profile Icon Cesar Rodriguez Martino
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Apr 2019 254 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Cesar Rodriguez Martino
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Apr 2019 254 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

Hands-On Machine Learning with Microsoft Excel 2019

Section 1: Machine Learning Basics

The objective of part 1 is to introduce the reader to machine learning and the different types of models used. It will cover supervised and unsupervised learning, the principal division within machine learning. Within these aspects, the difference between regression (continuous target variable) and classification (discrete target variable) will be demonstrated. All points are explained by means of hands-on examples.

This section comprises the following chapters:

  • Chapter 1, Implementing Machine Learning Algorithms
  • Chapter 2, Hands-On Examples of Machine Learning Models
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Key benefits

  • 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

Description

We 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.

Who is this book for?

This 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 30, 2019
Length: 254 pages
Edition : 1st
Language : English
ISBN-13 : 9781789345377
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Product Details

Publication date : Apr 30, 2019
Length: 254 pages
Edition : 1st
Language : English
ISBN-13 : 9781789345377
Category :
Concepts :
Tools :

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Table of Contents

16 Chapters
Section 1: Machine Learning Basics Chevron down icon Chevron up icon
Implementing Machine Learning Algorithms Chevron down icon Chevron up icon
Hands-On Examples of Machine Learning Models Chevron down icon Chevron up icon
Section 2: Data Collection and Preparation Chevron down icon Chevron up icon
Importing Data into Excel from Different Data Sources Chevron down icon Chevron up icon
Data Cleansing and Preliminary Data Analysis Chevron down icon Chevron up icon
Correlations and the Importance of Variables Chevron down icon Chevron up icon
Section 3: Analytics and Machine Learning Models Chevron down icon Chevron up icon
Data Mining Models in Excel Hands-On Examples Chevron down icon Chevron up icon
Implementing Time Series Chevron down icon Chevron up icon
Section 4: Data Visualization and Advanced Machine Learning Chevron down icon Chevron up icon
Visualizing Data in Diagrams, Histograms, and Maps Chevron down icon Chevron up icon
Artificial Neural Networks Chevron down icon Chevron up icon
Azure and Excel - Machine Learning in the Cloud Chevron down icon Chevron up icon
The Future of Machine Learning Chevron down icon Chevron up icon
Assessment Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(3 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Omar Ernesto Cabrera Rosero Jul 18, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is very well explained literature, the practical examples are very well detailed. It is very explained the import of data from different sources, data cleansing, exploratory data analysis and examples of data mining models, it is very interesting the integration chapter of Azure ML and Excel that is very useful when creating models and results are consumed by different users for making decisions.
Amazon Verified review Amazon
K Johnson Dec 27, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
One of the best books on the subject.
Amazon Verified review Amazon
Ruth Munoz Oct 07, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It's an amazing book to start learning ML without programming tools, just excel. It's easy to ready and it provides you a complete guide to start from scratch with the subject. It has very good examples and real-life problems to practice
Amazon Verified review Amazon
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