0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Hands-On Machine Learning with Microsoft Excel 2019

You're reading from Hands-On Machine Learning with Microsoft Excel 2019 Build complete data analysis flows, from data collection to visualization

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789345377

Length 254 pages

Edition 1st Edition

Tools

Excel

Concepts

Data Analysis

Author (1):

Julio Cesar Rodriguez Martino

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Machine Learning Basics FREE CHAPTER

2. Implementing Machine Learning Algorithms

3. Hands-On Examples of Machine Learning Models

4. Section 2: Data Collection and Preparation

5. Importing Data into Excel from Different Data Sources

6. Data Cleansing and Preliminary Data Analysis

7. Correlations and the Importance of Variables

8. Section 3: Analytics and Machine Learning Models

9. Data Mining Models in Excel Hands-On Examples

10. Implementing Time Series

11. Section 4: Data Visualization and Advanced Machine Learning

12. Visualizing Data in Diagrams, Histograms, and Maps

13. Artificial Neural Networks

14. Azure and Excel - Machine Learning in the Cloud

15. The Future of Machine Learning

16. Assessment

Technical requirements

To complete this chapter, you will need to download the transfusion.xlsx file from the GitHub repository at https://github.com/PacktPublishing/Hands-On-Machine-Learning-with-Microsoft-Excel-2019/tree/master/Chapter09 .

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Cesar Rodriguez Martino

Cesar Rodriguez Martino

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.

See other products by Cesar Rodriguez Martino

Other recommended products

Related to this chapter

Hands-On Financial Modeling with Microsoft Excel 2019

Hands-On Financial Modeling with Microsoft Excel 2019

This book aims to provide a gateway to financial modeling through easy to follow examples in Excel 2019. It will explore the process of modeling starting from a thorough understanding of the project to gathering historical information and arriving at assumptions. Good modeling practices are emphasized and demonstrated throughout the book.

Jul 2019 9h 44m

Learn Power Query

Learn Power Query

This book will effectively guide you through Power Query, starting with the shortcomings of other tools with regard to data analysis and management. You’ll then delve into the Power Query interface, understand how to connect, combine, and refine data with query tools, and finally create dashboards and multi-dimensional reports in Power Query.

Jul 2020 14h 16m

Automated Machine Learning

Automated Machine Learning

This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You'll learn how you can use AutoML to fully automate the machine learning process even if you're not an expert, and in turn increase your productivity drastically.

Feb 2021 10h 24m

Hands-On Neural Networks

Hands-On Neural Networks

This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.

May 2019 9h 20m

Data Science for Marketing Analytics

Data Science for Marketing Analytics

Data Science for Marketing Analytics opens doors to looking at data with a different approach and new tools. Drawing on machine learning and data science concepts, this book broadens the range of tools that you can use to transform the market analysis process.

Mar 2019 14h 0m

Machine Learning for Mobile

Machine Learning for Mobile

This book will help you build intelligent mobile applications for Android and iOS using machine learning. In the process, you will use popular machine learning toolkits such as TensorFlow Lite, Core ML, ML Kit and Fritz to build and deploy state-of-the-art machine learning models for mobile devices.

Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.

Oct 2018 11h 20m

Hands-On Exploratory Data Analysis with Python

Hands-On Exploratory Data Analysis with Python

This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way possible. The book presents a unique approach to exploring hidden features in your data.

Mar 2020 11h 44m

Machine Learning Fundamentals

Machine Learning Fundamentals

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by applying some popular algorithms to real-life datasets, this course gives you the skills and confidence to start programming machine learning algorithms.

Applied Supervised Learning with Python

Applied Supervised Learning with Python

Applied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and commercial circles with in-line code running support.

Apr 2019 13h 28m

The Machine Learning Workshop

The Machine Learning Workshop

With expert guidance and real-world examples, The Machine Learning Workshop gets you up and running with programming machine learning algorithms. By showing you how to leverage scikit-learn's flexibility, it teaches you all the skills you need to use machine learning to solve real-world problems.

Jul 2020 9h 32m

The Supervised Learning Workshop

The Supervised Learning Workshop

Taking an engaging and practical approach, The Supervised Learning Workshop teaches you how to predict the output of new data, based on the relationship and behavior of?existing datasets. You'll learn at your own pace and use Python libraries and Jupyter to build intelligent predictive models.?

Feb 2020 17h 44m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.