Machine Learning in Ms. Excel

Machine Learning in Ms. Excel, available at $49.99, has an average rating of 3.95, with 29 lectures, 9 quizzes, based on 13 reviews, and has 986 subscribers.

You will learn about Machine Learning Algorithms in Excel Data Clustering such as Fine Classing and Weight of Evidence Data Wrangling and Transformation Mathematics for Machine Learning Credit Risk Modelling and Validation Build a complete Credit Risk Model with Machine Learning by Using Excel Impress interviews by adding a special skill in your Resume This course is ideal for individuals who are Everyone that wants to learn new skills It is particularly useful for Everyone that wants to learn new skills.

Enroll now: Machine Learning in Ms. Excel

Summary

Title: Machine Learning in Ms. Excel

Price: $49.99

Average Rating: 3.95

Number of Lectures: 29

Number of Quizzes: 9

Number of Published Lectures: 29

Number of Published Quizzes: 9

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Machine Learning Algorithms in Excel

Data Clustering such as Fine Classing and Weight of Evidence

Data Wrangling and Transformation

Mathematics for Machine Learning

Credit Risk Modelling and Validation

Build a complete Credit Risk Model with Machine Learning by Using Excel

Impress interviews by adding a special skill in your Resume

Who Should Attend

Everyone that wants to learn new skills

Target Audiences

Everyone that wants to learn new skills

Hi and welcome to the Machine Learning with Excel course,

Machine Learning is shaping our everyday lives and it one of the most important features of innovations

in technology. The purpose of this course is to equip you with the newest methods that are applied in

Machine Learning by Using Microsoft Excel. It will introduce you to a different way of thinking about

data science and machine learning. This is a good way to start a career in Machine Learning since you

will understand some initial concepts and gain some hands-on experience on it. I am extremely happy

share with you everything that I know about Machine Learning with Excel. I promise you it is going to be

worth it and you will gain a valuable set of knowledge and skills by attending this course.

This is the only course in Udemy where Machine Learning is applied in Microsoft Excel. The reason why

we chose to go with Excel is because we know that many of you are already familiar with it. We will start

from ground zero and together we will continuously develop new skills from the beginning to the end of

this course. In this course together we will implement a complete data science project from start to

finish using Credit Risk Data. For this course we have data for around 40,000 consumers and a lot of

characteristics about them such as: their level of education, their age, their marital status, where they

live, if they own a home, and other useful details. We will get our hands dirty with these data and

explore them in depth and you can practice all this on your own too. Moreover, you will gain access to

valuable resources such as lectures, homework, quizzes, slides as well as some literature review in

regard to the modelling approaches. Let’s go ahead now and see how the course structure looks like!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Theoretical Background for Credit Risk

Lecture 1: What is Credit Risk

Lecture 2: Expected Losses

Chapter 3: Data Overview

Lecture 1: Data

Lecture 2: Data Overview

Chapter 4: Preprocessing Data

Lecture 1: Combining Data

Lecture 2: Creating Gender Dummy Variables

Lecture 3: Creating Ownership Dummy Variables

Lecture 4: Relationship Status Dummy Variables

Lecture 5: Coding of the Dependent Variable

Lecture 6: Weight of Evidence Male and Female

Lecture 7: Weight of Evidence – Rural vs Urban

Lecture 8: Weight of Evidence- School Level

Lecture 9: Weight of Evidence- Work Sector and Residence

Lecture 10: Weight of Evidence – Relationship Status

Lecture 11: Weight of Evidence- Grade

Chapter 5: Continuous Variables

Lecture 1: Continuous Variables

Lecture 2: Coding of Variables Age in Years

Lecture 3: Coding of variables: Maturity of the Loan

Lecture 4: Multicollinearity of Variables

Lecture 5: Weight of Evidence for Age in Years

Lecture 6: Weight of Evidence Maturity

Chapter 6: Choosing Variables for Machine Learning Algorithm

Lecture 1: Choosing Variables for Machine Learning Algorithm

Lecture 2: Coding of Grade

Lecture 3: Installing Real Statistics

Chapter 7: Running the Machine Learning Algorithm

Lecture 1: Problems with Running Regressions

Lecture 2: Running the Machine Learning Algorithm

Lecture 3: The meaning of Results

Chapter 8: Validation of Results

Lecture 1: Applying the results into test dataset

Instructors

Ed Spot
We want to change the world through data

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3 stars: 4 votes

4 stars: 5 votes

5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!