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Machine Learning in Ms. Excel

Machine Learning in Ms. Excel
Machine Learning in Ms. Excel

Machine Learning in Ms. Excel

English

What you’ll learn

  • Algorithms for Machine Learning are in Excel.
  • Data clustering, such as Fine Classing and Weight of Evidence, is used to group data into groups that make sense.
  • People who work with data wrangling and transformation
  • Math is used for machine learning.
  • In this case, credit risk modelling and testing
  • Excel can be used to make a complete credit risk model with machine learning.
  • By adding a skill to your resume, you can get more job interviews.

Requirements

  • There is no need to know how to code. will learn a new skill
  • In this course, we will show you how to use the Real Statistics Add-In.

Description

Hi there and welcome to the Machine Learning with Excel class.

Our daily lives are being changed by Machine Learning. It is one of the most important things about new technology. The goal of this class is to teach you how to use the most up-to-date methods in Machine Learning by using Microsoft Excel. It will show you how to think about data science and machine learning in a new way. If you want to start a career in Machine Learning, this is a good way to do it. You’ll learn some basic things and get some practice with them. Please let me tell you everything I know about Machine Learning and Excel. I’m very excited to do this.

This class is worth the money and the time, I promise. You’ll learn a lot and improve your skills by taking it. If you want to learn how to use Machine Learning in Microsoft Excel, this is the only course that does so. Why did we choose Excel? We know that a lot of you already know how to use it. In this class, we will start from the ground up and keep learning new things together. Using Credit Risk Data, we will do a full project from start to finish in this class. For this class, we have a lot of information about 40,000 people.

We know their level of education, their age, their marital status, where they live if they own a home, and other things. When we work with these data, we’ll get our hands dirty. We’ll look at them in more detail, and you can do the same on your own. As a bonus, you’ll be able to use important resources like lectures, homework, quizzes, slides, and a literature review about how to model things. To see how the course structure looks, let’s go ahead and do that now.

Who this course is for:

  • Everyone who wants to improve their skills
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