Name: Hands-On Machine Learning with Microsoft Excel 2019
Brand: Packt
SKU: 9781789345377
Availability: InStock

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

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.

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