| 01. Course Introduction-en-US.vtt | 4.5 KB | ||
| 01. Course Introduction.mp4 | 26.5 MB | ||
| 02. Data Science and Machine Learning-en-US.vtt | 10.2 KB | ||
| 02. Data Science and Machine Learning.mp4 | 89.1 MB | ||
| 03. What is Credit Risk-en-US.vtt | 8.8 KB | ||
| 03. What is Credit Risk.mp4 | 48.6 MB | ||
| 04. Expected Losses and its components-en-US.vtt | 7 KB | ||
| 04. Expected Losses and its components.mp4 | 12.4 MB | ||
| 05. Data Set Explained-en-US.vtt | 6.5 KB | ||
| 05. Data Set Explained.mp4 | 66.8 MB | ||
| 06. Combining Data.mp4 | 29.6 MB | ||
| 07. Creating Gender Dummy Variables-en-US.vtt | 8 KB | ||
| 07. Creating Gender Dummy Variables.mp4 | 91.3 MB | ||
| 08. Creating Dummy Categorical variables part 2 , ownership final-en-US.vtt | 8.2 KB | ||
| 08. Creating Dummy Categorical variables part 2 , ownership final.mp4 | 89.2 MB | ||
| 09. Creating Dummy Categorical Variables- Relationship Status-en-US.vtt | 5.3 KB | ||
| 09. Creating Dummy Categorical Variables- Relationship Status.mp4 | 45.3 MB | ||
| 10. Coding of the Dependent Variable-en-US.vtt | 5.5 KB | ||
| 10. Coding of the Dependent Variable.mp4 | 54.2 MB | ||
| 11. Weight of Evidence- Male and Female-en-US.vtt | 7.1 KB | ||
| 11. Weight of Evidence- Male and Female.mp4 | 43.7 MB | ||
| 12. Weight of Evidence- Rural Vs Urban-en-US.vtt | 4.4 KB | ||
| 12. Weight of Evidence- Rural Vs Urban.mp4 | 22.7 MB | ||
| 13. Weight of Evidence- Educational Level-en-US.vtt | 8.5 KB | ||
| 13. Weight of Evidence- Educational Level.mp4 | 44.3 MB | ||
| 14. Weight of Evidence- Grade-en-US.vtt | 7.3 KB | ||
| 14. Weight of Evidence- Grade.mp4 | 51.1 MB | ||
| 15. Weight of Evidence- Work Sector and Residence-en-US.vtt | 6 KB | ||
| 15. Weight of Evidence- Work Sector and Residence.mp4 | 47.2 MB | ||
| 16. Weight of Evidence- Relationship Status-en-US.vtt | 2.6 KB | ||
| 16. Weight of Evidence- Relationship Status.mp4 | 14 MB | ||
| 17. Continues Variables-en-US.vtt | 4.6 KB | ||
| 17. Continues Variables.mp4 | 26.2 MB | ||
| 18. Coding Age in Years-en-US.vtt | 3.5 KB | ||
| 18. Coding Age in Years.mp4 | 36 MB | ||
| 19. Coding Maturity-en-US.vtt | 3.3 KB | ||
| 19. Coding Maturity.mp4 | 50.2 MB | ||
| 20. Multicollinarity-en-US.vtt | 6.2 KB | ||
| 20. Multicollinarity.mp4 | 31.9 MB | ||
| 21. Weight of Evidence for Age in Years-en-US.vtt | 6.6 KB | ||
| 21. Weight of Evidence for Age in Years.mp4 | 34.2 MB | ||
| 22. Weight of Evidence Maturity-en-US.vtt | 4.8 KB | ||
| 22. Weight of Evidence Maturity.mp4 | 21.8 MB | ||
| 23. Creating the Variables for Excel-en-US.vtt | 3.4 KB | ||
| 23. Creating the Variables for Excel.mp4 | 36.7 MB | ||
| 24. Coding of Grade-en-US.vtt | 2.5 KB | ||
| 24. Coding of Grade.mp4 | 25 MB | ||
| 25. Installing Real Statistics-en-US.vtt | 6.5 KB | ||
| 25. Installing Real Statistics.mp4 | 38.3 MB | ||
| 26. Problems with Real Statistics-en-US.vtt | 5.1 KB | ||
| 26. Problems with Real Statistics.mp4 | 39.3 MB | ||
| 27. Running the Machine Learning Algorithm-en-US.vtt | 4.5 KB | ||
| 27. Running the Machine Learning Algorithm.mp4 | 24.7 MB | ||
| 28. Results Interpretation- Coefficients, P-values, T-statistics, Confidence Intervals-en-US.vtt | 12.7 KB | ||
| 28. Results Interpretation- Coefficients, P-values, T-statistics, Confidence Intervals.mp4 | 87.5 MB | ||
| 29. Applying the Coefficients-en-US.vtt | 8.7 KB | ||
| 29. Applying the Coefficients.mp4 | 53 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Loan_Data1.xlsx.xlsx | 14.7 MB | ||
| ▲ 60 total files | |||
Machine Learning in Microsoft Excel
https://CourseLala.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
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!
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement Posted by
freecoursewb in Other
|
2.3 GB | freecoursewb | 4 years | 0 | 0 |
| 1.1 GB | freecoursewb | 4 years | 0 | 0 | |
| 732.1 MB | freecoursewb | 4 years | 0 | 0 | |
|
[ FreeCourseWeb ] Skillshare - Machine Learning - K-Means Clustering Posted by
freecoursewb in Other
|
627.9 MB | freecoursewb | 4 years | 0 | 1 |
| 1.5 GB | xHOBBiTx | 4 years | 0 | 0 |
All Comments