Book Image

Hands-On Machine Learning with Microsoft Excel 2019

By : Julio Cesar Rodriguez Martino
Book Image

Hands-On Machine Learning with Microsoft Excel 2019

By: Julio Cesar Rodriguez Martino

Overview of this book

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.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Machine Learning Basics
4
Section 2: Data Collection and Preparation
8
Section 3: Analytics and Machine Learning Models
11
Section 4: Data Visualization and Advanced Machine Learning

Representing geographical distribution of data in maps

Localizing information in a map is extremely useful to understand data in the spatial dimension, which is often difficult by other means. Excel offers different options and we are going to show a couple of them. We will start by using data containing geographical coordinates, that is, latitude and longitude. The widespread use of the GPS system nowadays makes it easy to obtain this information. In any case, if this precise information is not available, we will see that the built-in information in Excel will still make it simple to draw maps and show us useful information.

In our first example, we will use data from the Massachusetts Institute of Technology Election Data and Science Lab about the 1976 US presidential election. The 1976USpresident.xlsx file contains, among other information, the list of US states and the vote...