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TORRENT DETAILS
[ CourseLala.com ] Skillshare - Machine Learning In Microsoft Excel
TORRENT SUMMARY
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Language: English | Size: 1.26 GB | Duration: 2h 13m
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. We are 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 Skill Share 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!
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FILE LIST
Filename
Size
~Get Your Files Here !/01. Course Introduction-en-US.vtt
4.5 KB
~Get Your Files Here !/01. Course Introduction.mp4
26.5 MB
~Get Your Files Here !/02. Data Science and Machine Learning-en-US.vtt
10.2 KB
~Get Your Files Here !/02. Data Science and Machine Learning.mp4
89.1 MB
~Get Your Files Here !/03. What is Credit Risk-en-US.vtt
8.8 KB
~Get Your Files Here !/03. What is Credit Risk.mp4
48.6 MB
~Get Your Files Here !/04. Expected Losses and its components-en-US.vtt
7 KB
~Get Your Files Here !/04. Expected Losses and its components.mp4
12.4 MB
~Get Your Files Here !/05. Data Set Explained-en-US.vtt
6.5 KB
~Get Your Files Here !/05. Data Set Explained.mp4
66.8 MB
~Get Your Files Here !/06. Combining Data.mp4
29.6 MB
~Get Your Files Here !/07. Creating Gender Dummy Variables-en-US.vtt
8 KB
~Get Your Files Here !/07. Creating Gender Dummy Variables.mp4
91.3 MB
~Get Your Files Here !/08. Creating Dummy Categorical variables part 2 , ownership final-en-US.vtt
8.2 KB
~Get Your Files Here !/08. Creating Dummy Categorical variables part 2 , ownership final.mp4
89.2 MB
~Get Your Files Here !/09. Creating Dummy Categorical Variables- Relationship Status-en-US.vtt
5.3 KB
~Get Your Files Here !/09. Creating Dummy Categorical Variables- Relationship Status.mp4
45.3 MB
~Get Your Files Here !/10. Coding of the Dependent Variable-en-US.vtt
5.5 KB
~Get Your Files Here !/10. Coding of the Dependent Variable.mp4
54.2 MB
~Get Your Files Here !/11. Weight of Evidence- Male and Female-en-US.vtt
7.1 KB
~Get Your Files Here !/11. Weight of Evidence- Male and Female.mp4
43.7 MB
~Get Your Files Here !/12. Weight of Evidence- Rural Vs Urban-en-US.vtt
4.4 KB
~Get Your Files Here !/12. Weight of Evidence- Rural Vs Urban.mp4
22.7 MB
~Get Your Files Here !/13. Weight of Evidence- Educational Level-en-US.vtt
8.5 KB
~Get Your Files Here !/13. Weight of Evidence- Educational Level.mp4
44.3 MB
~Get Your Files Here !/14. Weight of Evidence- Grade-en-US.vtt
7.3 KB
~Get Your Files Here !/14. Weight of Evidence- Grade.mp4
51.1 MB
~Get Your Files Here !/15. Weight of Evidence- Work Sector and Residence-en-US.vtt
6 KB
~Get Your Files Here !/15. Weight of Evidence- Work Sector and Residence.mp4
47.2 MB
~Get Your Files Here !/16. Weight of Evidence- Relationship Status-en-US.vtt
2.6 KB
~Get Your Files Here !/16. Weight of Evidence- Relationship Status.mp4
14 MB
~Get Your Files Here !/17. Continues Variables-en-US.vtt
4.6 KB
~Get Your Files Here !/17. Continues Variables.mp4
26.2 MB
~Get Your Files Here !/18. Coding Age in Years-en-US.vtt
3.5 KB
~Get Your Files Here !/18. Coding Age in Years.mp4
36 MB
~Get Your Files Here !/19. Coding Maturity-en-US.vtt
3.3 KB
~Get Your Files Here !/19. Coding Maturity.mp4
50.2 MB
~Get Your Files Here !/20. Multicollinarity-en-US.vtt
6.2 KB
~Get Your Files Here !/20. Multicollinarity.mp4
31.9 MB
~Get Your Files Here !/21. Weight of Evidence for Age in Years-en-US.vtt
6.6 KB
~Get Your Files Here !/21. Weight of Evidence for Age in Years.mp4
34.2 MB
~Get Your Files Here !/22. Weight of Evidence Maturity-en-US.vtt
4.8 KB
~Get Your Files Here !/22. Weight of Evidence Maturity.mp4
21.8 MB
~Get Your Files Here !/23. Creating the Variables for Excel-en-US.vtt
3.4 KB
~Get Your Files Here !/23. Creating the Variables for Excel.mp4
36.7 MB
~Get Your Files Here !/24. Coding of Grade-en-US.vtt
2.5 KB
~Get Your Files Here !/24. Coding of Grade.mp4
25 MB
~Get Your Files Here !/25. Installing Real Statistics-en-US.vtt
6.5 KB
~Get Your Files Here !/25. Installing Real Statistics.mp4
38.3 MB
~Get Your Files Here !/26. Problems with Real Statistics-en-US.vtt
5.1 KB
~Get Your Files Here !/26. Problems with Real Statistics.mp4
39.3 MB
~Get Your Files Here !/27. Running the Machine Learning Algorithm-en-US.vtt
4.5 KB
~Get Your Files Here !/27. Running the Machine Learning Algorithm.mp4
24.7 MB
~Get Your Files Here !/28. Results Interpretation- Coefficients, P-values, T-statistics, Confidence Intervals-en-US.vtt
12.7 KB
~Get Your Files Here !/28. Results Interpretation- Coefficients, P-values, T-statistics, Confidence Intervals.mp4
87.5 MB
~Get Your Files Here !/29. Applying the Coefficients-en-US.vtt
8.7 KB
~Get Your Files Here !/29. Applying the Coefficients.mp4