Machine Learning and Data Science in STATA

Focused View

Ed Spot

1:57:39

137 View

1. Background Knowledge

1. Introduction.mp4

02:18

2. What is Credit Risk.mp4

06:23

3. Expected Losses and its Components.mp4

05:00

2. STATA and DATA

1. STATA Interface.mp4

03:53

2.1 Loan_Data.xlsx

2. Importing Data From Excel to STATA.mp4

03:28

3. Importing Data from Excel to STATA Part 2.mp4

02:21

4. Merging Data.mp4

05:38

3. Data Visualisation

1. Histogram Graph Combination.mp4

04:32

2. Histogram.mp4

04:53

3. Histogram Part 2 - Graph Editor.mp4

04:39

4. Visualization of Categories - Male and Female.mp4

05:18

5. Visualization of Categories- Rural vs Urban Area and Educational Level.mp4

06:18

6. Scatter Plot Understanding.mp4

04:18

7. Scatter Plots in Practice.mp4

08:11

4. Data Inspection and Summarization

1. Inspecting Data.mp4

04:21

2. Summarizing data with sum.mp4

03:58

3. Encoding Variables.mp4

04:51

5. Choosing the Variables

1. Weight of Evidence Gender.mp4

04:14

2. Weight of Evidence Relationship Status and Education.mp4

04:37

3. Weight of Evidence - Grade and Educational Level.mp4

05:31

6. Coding of Continues Variables (Fine- Classing)

1. Fine Classing - Installments Part 1.mp4

06:54

2. Combining Installments.mp4

01:59

3. Weight of Evidence - Installments.mp4

03:44

7. Machine Learning

1. Generating Dummy Variables for Gender and Relationship Status.mp4

01:58

2. Generating Dummy Variables for Education Level and Grade.mp4

03:22

3. Splitting the Data in Training and Testing.mp4

02:58

4. Running the Machine Learning (Logistic Regression).mp4

02:02

Description

Practical way to learn Data Science and Machine Learning with STATA . Examples and real data are provided

What You'll Learn?

Data Science
Machine Learning
Programming Language STATA
Credit Risk Modelling

Who is this for?

This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA

More details

Description
Hello and welcome to the Machine Learning with STATAÂ course. Machine Learning is influencing our daily lives and is one of the most significant aspects of technological advancements. The goal of this course is to provide you with the most up-to-date Machine Learning methodologies using STATA . It will teach you how to think about data science and machine learning in a new way. This is an excellent approach to begin a career in Machine Learning because you will learn some fundamental principles and receive practical experience. I'm thrilled to share what I know about Machine Learning using STATAÂ with you. I assure you that it will be well worth your time and effort, and that you will gain a vital skill.
Based on our research this is the only course that usesÂ STATAÂ to apply Machine Learning Models in Credit Risk Scenario. Because we know that many of you are already familiar with STATAÂ or want to be familiar, we chose it as our platform. From the beginning to the finish of the course, we will start from scratch and work together to build new abilities. In this course, we will work together to create a complete data science project utilizing Credit Risk Data from start to finish. For this course, we have information on around 40,000 consumers, including their level of education, age, marital status, where they live, if they own a home, and other pertinent information.
We'll get our hands filthy with these numbers and dig deep into them, and you'll be able to practice on your own. Additionally, you will have access to essential resources like as lectures, homework, quizzes, slides, and a literature analysis on modeling methodologies. Let's see what the course structure looks like right now!

Who this course is for:
This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA

User Reviews

Rating

average 0

Total votes0

Focused display

With the right technology and a clear knowledge of the data , issues may be resolved , and the world can be improved . Data Science is fast emerging as a critical idea and skill for both public and commercial sector organizations as well as academic research . Nevertheless , there are a ton of courses and fantastic lecturers who offer lectures on data science . However , if you delve deeply into this sector , you will discover that there is a lot of noise in the modern world due to new programming techniques , technologies , and methodologies . Our main goal when it comes to data science is to offer real world know - how and expertise . In addition. to using several programming languages , we wish to teach our students Data Science and Machine Learning using techniques and methodologies that have been used for more than 500 years . Out motto is : To Give Knowledge that Never Expires Instead of just teaching them a single program and sending them off to use it , we want to develop the students critical thinking skills so they can use them throughout their entire lives . We are a business with roots in the European Union , and we want to spread the knowledge we have acquired from the greatest students in Europe's universities to other areas of the world . We want to offer a broad choice of courses so that our students can tailor their courses of study to their specific needs and targeted working . We are wishing you happy learning .

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.